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hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n As a Lead Low Code Engineer (Consultant) in Kainos, you’ll be responsible for managing teams and developing high quality Low Code solutions which delight our customers and impact the lives of users worldwide. It’s a fast-paced environment so it’s important for you to make sound, reasoned decisions. \n You’ll do this whilst learning about new technologies and approaches, with talented colleagues that will help you to learn, develop and grow. You’ll manage, coach and develop a small number of people, with a focus on managing employee performance and assisting in their career development. \n You’ll also provide direction for your team as you solve problems together. With your technical knowledge, you will also interact with customers, share knowledge and mentor those around you. \n MINIMUM (ESSENTIAL) REQUIREMENTS: \n\n • Expertise in designing, building, testing and maintaining modern software applications, including Low Code solutions and appropriate Pro Code extensions or integrations where required.\n, • Technical management of teams building and testing modern, scalable, secure, performant applications in line with software development rules, practices and patterns e.g. XP, TDD\n, • Experience of technical ownership for a Low Code project, including architecture, estimation, product planning and user story/requirement creation\n, • Experience of balancing technical decisions with user needs and commercial constraints\n, • Expertise in Low Code software design and development across all layers of a solution\n, • Experience with the latest Continuous Integration and Continuous Delivery techniques\n, • Ability to assess when to use out-of-the-box Power Platform capability, low-code customisation or pro-code development to deliver secure, scalable and maintainable solutions.\n, • Expertise in the Microsoft Power Platform (5+ years’ experience), including:\n \n, • Strong Dataverse and model-driven app development\n, • C# plug-in development and PCF development (TypeScript/React)\n, • JavaScript form customisation and Power Automate\n \n, • Knowledge of public cloud platforms, such as AWS and Azure, including SaaS and PaaS offerings\n\n \n Desirable \n\n • Typescript\n, • REST API integrations\n, • Azure DevOps and Power Platform ALM\n, • Azure Functions\n, • APIM/Azure Service Bus\n, • AI Driven Delivery\n\n \n WHO YOU ARE: \n Our vision is to enable outstanding people to create digital solutions that have a positive impact on people’s lives. Our values aren’t abstract; they are the behaviours we expect from each other every day and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. \n These values, applied collectively, help to produce an outstanding Kainos person, team and culture. \n \n ABOUT US \n Kainos is a high-growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30-year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: \n As a Senior Software Engineer in the Kainos Applied Innovation team, you’ll work closely with customers and colleagues to identify, prototype, and deliver high-impact software solutions. The role combines hands-on engineering with applied R you’ll rapidly explore emerging technologies, assess their practical value, and turn promising ideas into working products, prototypes, and share technical recommendations. \n This is a fast-paced and ambiguous environment, so you’ll be expected to take initiative, work autonomously, and make sound technical judgements with limited direction. You’ll communicate your findings clearly, help customers and teams understand the opportunities and trade-offs of new approaches, and apply those insights to real-world problems. \n You’ll collaborate with talented colleagues across disciplines, contribute to a culture of experimentation and engineering quality, and support others as they take on new technical challenges. \n What we are looking for: \n • Proficient in designing, building, testing and maintaining modern software applications. \n • Experience of applying development best practices and patterns in relation to security, scalability and performance. \n • Contributing to technical decisions and direction in a collaborative team environment, including architecture, estimation, product planning, user story/requirement creation. \n • Experience of design and development across multiple layers of an application. \n • Mentoring junior team members. \n • Exposure to modern AI-Driven Development tools and Techniques. \n • Experience of working in leading on features and projects in a team environment, as well as working independently and autonomously. \n Nice to have: \n • Good communication skills, with the ability to communicate issues to technical and non-technical people; able to engage stakeholders and understand their goals and motivations. \n • Experience of Continuous Integration and Continuous Delivery techniques. \n • Experience of debugging and troubleshooting live applications. \n • Active participation in knowledge sharing activities, both within the team and with wider non-technical audiences. \n • Experience of multiple programming languages, data storage technologies and AI Tools. \n • Experience of balancing technical dependencies with user needs and commercial constraints. \n • Knowledge of public cloud platforms, such as AWS and Azure, including SaaS and PaaS offerings. \n • Experience of researching novel or new technologies and making recommendations for their use. \n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Lead Data Engineer \n \n As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs. \n Your responsibilities will include: \n\n • Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution.\n, • Focusing on hands-on design and development, using open source and commercial platforms.\n, • Defining and enforcing development best practice and coaching team members to ensure consistency.\n, • Working with project architects, taking responsibility for non-functional needs of ETL/ELT data processing pipelines such as robustness and performance.\n, • Taking responsibility for standards and execution of unit and integration testing done within the team.\n, • Taking responsibility for software product due diligence and integration.\n, • Leading troubleshooting and tuning of activities.\n, • Working with Operations teams to ensure the application software is operationally ready.\n, • Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements\n, • Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys.\n, • Contributing to technical proposals as part of the sales process.\n, • Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction for your team as you solve problems together\n\n Minimum (essential) requirements: \n\n • Experience of leading a team of engineers in the implementation of data-intensive system components\n, • Experience of applying standards for design (patterns), development, (style guides) and operational readiness (automation, deployment)\n, • Proficient software development experience in one of Java, Scala, or Python\n, • Software development experience with data-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools\n, • Expert in SQL or SQL extensions for analytical use case\n, • Expert understanding of distributed data stores and data processing frameworks\n, • Ability to simply and clearly communicate technical design both written and verbally\n, • Proficient in designing analytical and operational data models\n, • A keen interest in AI technologies\n\n Desirable: \n\n • Comfortable with Data Warehouse methods and techniques\n, • Actively shares their thoughts and views on data practices\n, • AWS/Azure/GCP Certified in Data Services \n, • Expertise in continuous improvement and sharing input on data best practice\n, • Participation in development and/or technology communities\n, • Practical experience with AI technologies, tools, processes and delivery\n\n Who you are: \n Our vision is to enable outstanding people to create digital solutions that have a positive impact on people’s lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. \n These values, applied collectively, help to produce an outstanding Kainos person, team and culture. \n About us \n Kainos is a high-growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30-year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: \n As a Senior Data Engineer (Senior Associate) at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems . You will work within a multi-skilled agile team to design and develop large-scale data processing software to meet user needs in demanding production environments. \n Your responsibilities will include: \n\n • \n Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution. \n • \n Working with Architects and Lead Engineers to ensure the software supports non-functional needs. \n • \n Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality. \n • \n Working with operations teams to ensure operational readiness \n • \n Advising customers and managers on the estimated effort and technical implications of user stories and user journeys. \n • \n Coaching and mentoring team members. \n\n MINIMUM (ESSENTIAL) REQUIREMENTS: \n\n • \n Strong software development experience in one of Java, Scala, or Python \n • \n Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. \n • \n Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment \n • \n Proficient in SQL and SQL extensions for analytical queries \n • \n Solid understanding of ETL/ELT data processing pipelines and design patterns \n • \n Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats \n • \n Able to write quality, testable code and has experience of automated testing \n • \n Experience with Continuous Integration and Continuous Deployment techniques \n • \n A Keen interest in AI Technologies \n\n DESIRABLE REQUIREMENTS: \n\n • \n Experience of performance tuning \n • \n Experience of data visualisation and complex data transformations \n • \n Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products \n • \n Expertise in continuous improvement and sharing input on data best practice \n • \n Practical experience with AI technologies, tools, processes and delivery \n\n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. \n Essential Experience: \n\n • Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions.\n, • Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.\n, • Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions.\n, • Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.\n, • Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems.\n, • Exposure to agile software development practices and experience working in agile teams.\n, • Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.\n\n Desirable Experience: \n\n • MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.\n, • Familiarity with Workday APIs, data structures, and integration patterns.\n, • Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers).\n, • Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems.\n, • Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation.\n\n Who you are: \n\n • Determined – you’re flexible and overcome obstacles to get the job done to achieve personal and team goals.\n, • Creative – you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems\n, • Honest – always constructive when giving or receiving feedback, being transparent and truthful when dealing with others\n, • Respectful – you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with\n, • Cooperative – you share information, knowledge and experience, understanding the mutual benefits of team working.\n\n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

Are you ready to start a new career in AI Engineering? \n AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. \n In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. \n Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. \n Step One: \n Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. \n Step Two: \n Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI \n Step Three: \n Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. \n Course cost - £2795 or £232.91 per month \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n Click 'Apply Now’ to begin your new career!

Join Kainos and Shape the Future \n At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n \n We believe in a people-first culture, where your ideas are valued, your growth is supported,... \n \n \n \n \n \n \n \n ZIPC1_UKTJ

Trainee AI Engineer - No Experience Needed \n Future-proof your career in Artificial Intelligence - starting today. \n Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. \n Train online at your own pace and land your first AI Engineer role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£45,000. \n Why AI? \n AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they’re all scrambling for skilled professionals. \n The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. \n How It Works \n Step 1 - AI Engineering Fundamentals \n Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. \n Step 2 - Data Fundamentals \n Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. \n Step 3 - Notebooks & IDEs \n Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. \n Step 4 - Python Programming \n Master Python, covering everything from the basics to object-oriented programming (OOP). \n Step 5 - Python Streamlit Project \n Apply your Python skills by building a car price prediction app using Python and Streamlit. \n Step 6 - Python for Data \n Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. \n Step 7 - AI Sentiment Analysis Project \n Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. \n Step 8 - AI Prompt Engineering \n Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. \n Step 9 - Retrieval-Augmented Generation (RAG) \n Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. \n Step 10 - AI Specialised Customer Service Chatbot Project \n Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. \n Step 11 - Machine Learning Fundamentals \n Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. \n Step 12 - Machine Learning Project \n Put your machine learning knowledge into practice with a hands-on project. \n Step 13 - AI & Data Ethics \n Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. \n Step 14 - Oral Exam \n Complete a virtual oral exam to assess your understanding and ability to apply your learning. \n Step 15 - AWS Certified Cloud Practitioner \n Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. \n What You Get \n · 100% online, self-paced training \n · Microsoft AI-900 certification included \n · 1-to-1 tutor and recruitment support \n · Real-world project experience \n · Job guarantee - get a job or your money back \n · Starting salary of £28,000-£45,000 \n We Get You Hired \n We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. \n Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. \n We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. \n "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London \n Ready to Start? \n If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. \n Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

About the Position The Senior BIM Specialist I is a senior production role for team members who have chosen a career path in modeling, documentation, and BIM coordination. You’ll bring deep Revit expertise to your projects, leading the modeling workflow, managing model structure and health, and ensuring TEECOM’s deliverables are accurate, organized, and fully coordinated. You’ll work closely with engineers to translate markups and design intent into clear, constructible documentation. You’ll anticipate coordination issues, resolve modeling conflicts, run clash detection, and drive BIM-related decisions that keep projects moving efficiently. As a leader in production, you’ll train and mentor Designers in Revit, modeling best practices, documentation habits, and TEECOM standards. You’ll model a disciplined, process-driven approach to production and contribute to improving the BIM workflows used across the firm. This position reflects deep production expertise, strong ownership of quality, and the ability to support engineers while guiding early-career Designers through modeling, documentation, and coordination tasks. • As a Senior BIM Specialist I, your impact comes from owning production quality, applying expert modeling judgment, and leading BIM coordination across disciplines. You contribute in three key ways:Lead BIM Execution, • You ensure TEECOM’s models and drawing sets are coordinated, constructible, and aligned with both TEECOM and client standards—reducing rework and RFIs., • You turn design intent and engineer markups into clear, buildable documentation that keeps project teams aligned and confident in next steps., • You improve overall design quality by applying strong production judgment to layout decisions, routing strategies, and coordination outcomes., • You keep coordination cycles moving by making sound modeling decisions in ambiguous situations, helping projects maintain momentum under tight deadlines.Contribute to Team Learning, Collaboration, and Mentorship, • You raise the team’s production capability by helping Designers build strong modeling, documentation, and standards habits that improve project clarity and reduce rework., • You support team growth through informal coaching, modeling guidance, and clear feedback that strengthens production confidence and technical judgment across the team., • You strengthen team communication by documenting processes clearly, surfacing risks early, and fostering a transparent, collaborative production culture., • You improve consistency across projects by refining tools, templates, libraries, and workflows that the entire production team relies on., • You elevate team decision-making by contributing insights during modeling, coordination, and process discussions across projects and disciplines.Improve the TEECOM System, • You strengthen TEECOM’s production system by applying BIM standards consistently and refining them through clear documentation, feedback, and targeted Pull Requests., • You ensure teams can rely on your work by maintaining models and documentation that are structured, accurate, and easy to navigate., • You raise production quality by reinforcing disciplined QA/QC practices and ensuring models accurately represent design intent., • You improve clarity and efficiency across projects by identifying workflow or coordination gaps and proposing practical, scalable solutions., • You deliver accurate, coordinated Revit models and documentation with minimal oversight., • You lead BIM production by setting up models, maintaining model health, and ensuring alignment with design intent and TEECOM standards., • You translate engineer markups into clear, constructible documentation and identify coordination issues early., • You manage BIM workflows effectively across multiple projects—prioritizing tasks, communicating risks, and meeting deadlines., • You apply TEECOM’s BIM standards consistently and improve them through documented feedback and Pull Requests., • You lead or support BIM coordination, resolving modeling conflicts and ensuring cross-discipline accuracy., • You collaborate closely with Designers and engineers to structure models, resolve issues, and maintain disciplined documentation., • You support other teams when workload or project needs shift, contributing to firmwide delivery and collaboration., • You maintain high-quality documentation in GitHub and contribute meaningful Pull Requests that strengthen tools, templates, and workflows., • You meet utilization expectations and complete accurate daily time and expense entries., • You model TEECOM’s Core Values—Care, Trust, and Value—in your communication, collaboration, and production practices., • These responsibilities and expectations represent what is required to successfully perform the essential functions of this role.Annual and Quarterly, • Advance discipline and BIM coordination expertise through continued professional development and applied project experience., • Collaborate with your Production Lead to set and review goals that strengthen modeling quality, coordination capability, and production leadership., • Participate in performance assessments and demonstrate measurable growth in production quality, coordination ownership, and documentation impact., • Maintain organized, accurate models, sheets, and coordination documentation that reflect design intent and evolving project requirements., • Contribute to improvements in BIM workflows, standards, and templates through clear documentation and targeted Pull Requests., • Demonstrate increasing ownership of BIM execution by anticipating coordination risks, maintaining disciplined model structure, and supporting consistent delivery across projects.Monthly and Biweekly, • Deliver accurate, coordinated BIM outputs that support engineering direction and cross-discipline production workflows., • Maintain model health by leading updates to Revit models, sheets, families, and views while resolving modeling challenges with minimal oversight., • Participate in project, production, and coordination meetings, documenting decisions, risks, and coordination impacts with clarity., • Support team development through informal coaching, reinforcing strong modeling habits, documentation practices, and production standards., • Strengthen coordination by addressing redlines, running clash checks, and identifying modeling or documentation issues early., • Contribute to BIM standards and production workflows by proposing improvements, drafting updates, and preparing targeted Pull Requests., • Maintain clear documentation of modeling decisions, standards clarifications, and client-specific requirements across project tools and GitHub., • Maintain accurate and timely time and expense entries to support delivery accountability.Weekly and Daily, • Lead updates to models, drawing sets, and production documentation to maintain coordination clarity and cross-discipline alignment., • Participate in BIM coordination and project meetings, communicating modeling risks, assumptions, and required decisions proactively., • Translate engineering markups into clear, buildable documentation while maintaining model structure, standards alignment, and production accuracy., • Maintain visibility into tasks and dependencies through consistent updates in Asana and related project tools, raising risks or changes early., • Document modeling standards, coordination decisions, and project specific BIM requirements in the Design Decision Log and GitHub., • Coordinate with Designers, engineers, and cross-discipline teams to resolve modeling or documentation challenges and maintain delivery momentum., • Ask targeted questions early to confirm design intent, clarify scope, and strengthen modeling accuracy., • Participate in daily huddles to align on priorities, risks, and coordination needs impacting delivery., • Execute modeling, documentation, and production tasks with strong ownership and minimal oversight., • Provide informal day to day guidance to Designers and teammates by answering questions and reinforcing clear modeling and documentation practices., • Maintain accurate time and expense entries while keeping production documentation current and aligned with evolving project decisions.As Needed, • Support site walks, existing conditions verification, or field documentation, capturing findings clearly to strengthen model accuracy and coordination., • Review cross-discipline models to identify coordination risks and propose practical BIM focused solutions., • Prepare diagrams, views, and supporting production documentation that improve clarity for internal teams or clients., • Explore modeling methods, tools, or automation opportunities that enhance workflows and production efficiency., • Refine production templates, views, or BIM tools and recommend updates that improve consistency and team efficiency., • Provide Revit and modeling guidance to Designers when needed, reinforcing strong standards and documentation habits., • Support other production teams during shifting workload or complex project phases to maintain delivery alignment across the firm., • Supervisory: None. Senior BIM Specialist I positions focus on leading BIM production execution, maintaining model health, and driving coordination quality while supporting engineers, Designers, and project teams., • Mentorship: Provide day to day guidance to Designers by clarifying modeling workflows, reviewing approaches, resolving production issues, and reinforcing TEECOM’s BIM standards. Support team development through informal coaching, clear feedback, and shared problem solving that strengthens modeling habits, documentation quality, and coordination confidence across the production team., • Training: Support team development by sharing best practices, documenting lessons learned, and contributing to updates in BIM standards, tools, and templates. Participate in BIM focused training and assist with onboarding or Revit training sessions as needed., • Education: Associate Degree or Technical Certificate in Drafting, Architecture,Engineering, or a related field; or equivalent BIM production experience., • Experience: 4+ years of experience in the AEC industry with strong proficiency in Revit, coordinated modeling, BIM execution, and construction documentation across multiple projects., • Preferred: Experience supporting technology system layouts (telecom/ICT, audiovisual, security, acoustics, or network) and collaborating with engineers to translate design intent into coordinated BIM deliverables., • Ability to manage and maintain coordinated Revit models, produce accurate documentation with minimal oversight, and resolve production issues independently., • Strong organizational and communication skills with the ability to manage BIM workflows across several projects, lead coordination-focused production tasks, and support engineers and project teams., • Solid understanding of cross-discipline coordination and building system interactions; ability to interpret markups, understand design intent, and anticipate modeling impacts with limited guidance., • Advanced proficiency in Autodesk Revit; familiarity with Navisworks, AutoCAD, Bluebeam Studio, Microsoft 365, Google Workspace, Asana, and GitHub.Industry certifications preferred but not required:, • Autodesk Certified Professional — plus, • CDT — plus, • CTS (AV) — plus, • RCDD (Telecom) — plus, • PSP/CPP (Security) — plus, • These physical demands represent what is required to perform the essential functions of this job. Reasonable accommodations will be provided as needed., • Prolonged desk work using a computer, keyboard, mouse, and telephone., • Regular reading, writing, and communication in virtual and in-person settings., • Occasional travel to client sites for meetings, surveys, or inspections., • Site walks may require standing or walking for extended periods, climbing stairs, and navigating construction or utility areas., • Field activities may involve bending, kneeling, or maneuvering in confined spaces., • May occasionally lift or move equipment weighing up to 25 pounds., • These work environment characteristics represent the conditions encountered while performing essential job functions. Reasonable accommodations will be provided as needed., • Approximately 75% of work is performed in a remote or office environment using standard office equipment., • Approximately 25% occurs at client sites, including construction environments and existing facilities., • Construction sites may include exposure to elevated noise levels, dust, uneven or unfinished walking surfaces, variable lighting conditions, and active construction operations., • Utility rooms and similar spaces may have restricted access or may not fully comply with ADA accessibility standards. When access limitations exist, TEECOM will support coordinating reasonable accommodations with site-controlling contractor or alternative means to perform essential job functions., • All accidents, near misses, and unsafe conditions must be reported immediately to the site superintendent and internally to People Operations.£70,000 - £140,000 a yearThis compensation will vary depending on your role-related skills, experience, knowledge, and subject matter expertise. TEECOM is committed to making sure that we are the right fit for each applicant and that each applicant is the right fit for our team. As we get to know each other throughout the interview process, the compensation may vary within the stated range. TEECOM offers a comprehensive benefits package to support employees and their families, including medical, dental, and vision insurance for employees and their dependents, basic and voluntary life insurance, short-term and long-term disability coverage, a 401(k) plan with profit-sharing contributions, paid parental leave, lifestyle and legal benefits, pet benefits, and performance-based bonuses. Full-time exempt team members also enjoy flexible time off, and all employees receive nine scheduled paid holidays.Your level will be evaluated and determined during the interview process. NOTICE TO THIRD PARTY AGENCIES: Please note that TEECOM does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Fee Agreement, TEECOM will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, TEECOM explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of TEECOM.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at _. About the Role We’re looking for a Senior Software Engineer who cares deeply about building high-quality products - not just testing them after the fact. In this role, you’ll help shape how quality is engineered into our products from day one, working across software development, automation, and modern testing practices. This role includes a blend of hands-on testing and automation. You’ll design systems, build tooling, and dive into manual testing where it adds the most value - all while helping the team deliver reliable software at scale. We’re exploring how AI can meaningfully improve quality engineering beyond code assistants, and you’ll have the opportunity to shape that journey in a practical, grounded way. This is an area we’re actively evolving, not a fully mature capability today. If you enjoy solving real engineering problems, improving how teams build software, and taking a pragmatic approach to quality, this role will give you the space to do it. Engineering Quality into the Product • Partner with engineers, product managers, and designers to build quality into features from the start - not bolt it on at the end., • Contribute directly to product code where it improves reliability, testability, and observability., • Help shape system design decisions to reduce defects before they happen. Building Scalable Test & Automation Systems • Design and implement robust, maintainable automation across API, integration, and UI layers., • Evolve our testing approach using modern engineering practices - focusing on fast feedback, meaningful and reliable results, and developer productivity., • Improve CI/CD pipelines so quality checks are fast, reliable, and genuinely useful (not just gates). Exploring AI-Driven Engineering • Experiment with AI to improve how we test and validate software - from intelligent test generation, smarter failure analysis and self-healing approaches., • Build or integrate tools that reduce manual effort and increase confidence in releases. Raising the Bar for Engineering • Help establish a strong, pragmatic quality culture that developers actually value., • Ensure quality is a shared responsibility across the team, not owned by a single individual., • Share ideas, mentor others, and contribute to how we continuously improve as a team., • Influence engineering practices beyond your immediate team., • Strong software engineering experience (JavaScript, TypeScript, or similar)., • A track record of building or improving automated testing in real-world systems., • Experience working in modern development environments with CI/CD and cloud platforms., • A practical mindset: you care about outcomes, not just frameworks or theory., • Hands-on experience applying AI within quality engineering or testing contexts - for example, test generation, failure analysis, test optimisation, or similar., • Ability to go beyond basic coding assistants and use AI to solve real testing or quality problems in innovative ways., • Experience working on security or high-reliability systems., • Exposure to performance or security testing., • Contributions to engineering communities, blogs, or open source., • Engineers move faster with more confidence because quality is built into their workflow., • Testing provides fast, meaningful feedback - not noise., • AI-driven approaches reduce manual effort and uncover issues earlier., • The team sees quality as an enabler, not a bottleneck., • You’ll be treated as a software engineer first, not a gatekeeper., • You’ll have room to experiment with new ideas, including AI, and turn them into real impact., • You’ll influence how software is built - not just how it’s tested. Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? · Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. · Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit · Employee-led diversity and inclusion networks that build community and provide education and advocacy · Annual charity and fundraising initiatives and volunteer days for employees to support local communities · Global employee sustainability initiatives to reduce our environmental footprint · Global fitness and trivia competitions to keep our bodies and minds sharp · Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About MoneyboxMoneybox is the award-winning app that helps you turn your money into something greater. We’ve brought saving, investing, home-buying, and retirement services all together into one simple app, so it’s easier than ever to achieve your goals and build wealth, whatever your starting point. Job BriefWe are looking for a Lead QA engineer to join our team, who enjoys working in a fast-paced environment. You will be working with a high calibre team to continuously develop new products/features. • This is a hands-on role and as a senior member of the QA team, you’ll help ensure the quality of Moneybox products, reporting into the Senior QA lead., • Seamlessly deliver numerous large and complex projects, acting as the sole QA on a squad, managing competing workstreams through strong prioritisation and time management., • Drive a "quality is everyone's responsibility" philosophy, influencing team members to prioritise collective success., • Collaborate with stakeholders to define testing and release strategies that effectively balance risk, speed, and quality., • Run engaging, cross-functional team meetings (e.g. amigos, retrospectives, go/no-go) that promote positive outcomes and actions., • Apply a risk-based approach to QA activities, focusing on high-value areas rather than testing for the sake of testing, leveraging AI tooling to support activities., • Identify and communicate issues, dependencies, and solutions to the squad and senior management, ensuring strong coordination and prioritisation., • Assess features for test automation suitability, collaborating with engineers on various test types and contributing to end-to-end automation., • Own QA metrics, perform root cause analysis, and champion continuous improvement in ways of working, processes, and tooling., • Proactively support team members through mentoring, coaching, and management to foster their career growth., • Be a visible leader and role model within the QA team, actively supporting departmental operations and promoting learning and sharing across the QA function., • Represent Moneybox externally in the tech community, bringing fresh new ideas back to the team., • You're enthusiastic about working in a fast-growing Fintech and dedicated to making a positive impact on personal wealth, with a strong interest in technology and QA developments., • You possess an excellent understanding of testing techniques and can effectively coach and mentor your team on their application., • You're comfortable in multi-disciplinary teams, working closely with developers, and demonstrate strong analytical, critical thinking, and problem-solving skills., • You have proven experience in designing and implementing comprehensive test plans and automation frameworks., • You exhibit strong organisational skills, meticulous attention to detail, and a pragmatic approach to bug reporting, understanding risk, impact, and dependencies., • At least 7 years of broad QA experience, with a number of years in a lead QA role, including a proven track record of mentoring and coaching., • Extensive backend system testing skills and understanding of programming languages, and API architectures., • Deep understanding of Mobile app, web, API, and database testing technologies and frameworks., • Experience with various automated testing techniques and a solid background in test data design and implementation strategies., • Proven ability to work effectively with senior leadership to build strong relationships and drive continuous improvement., • Opportunity to join a fast-growing, award-winning and super ambitious business., • Work with a friendly team of highly motivated individuals., • Be in an environment where you are listened to and can actually have an impact., • Thriving collaborative and inclusive company culture., • Competitive remuneration package., • Company shares, • Company pension scheme, • Hybrid working environment, • Home office furniture allowance, • Personal Annual Learning and Development budget, • Private Medical Insurance, • Health Cash Plan (cashback on visits to the dentist & opticians etc), • Cycle to work scheme, • Gympass subscription to a variety of gyms and wellbeing apps, • Enhanced parental pay & leave, • 25 days holiday + bank holidays with additional days added with length of service.Our Commitment to DE&I At Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potential. Visa Sponsorship:At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications. Working Policy:We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.

Aim high, go beyond! At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on… Working in our Chief Operating Office (COO) Our COO Teams are the engine that powers Open Cosmos’ operations. This division brings together mission management, supply chain, and quality & product assurance to make sure every mission is delivered smoothly, reliably, and to the highest standards. They turn plans into action, keeping us efficient and mission-ready at all times. We're looking for a 2nd Line IT Support Engineer to strengthen our IT operations and ensure our systems, offices, and people are supported with reliable, secure, high-performing technology. What will you be doing? This is a hands-on technical role — combining escalated user support, deeper infrastructure work, and continuous improvement. You’ll be the go-to point for complex issues across devices, networks, identity, and SaaS services, helping keep Open Cosmos running smoothly as we grow. You will: Own and resolve escalated issues across Windows, Linux, macOS, iOS/Android, networks, identity, and collaboration tools. Troubleshoot, perform root-cause analysis, and implement corrective and preventative actions. Meet SLAs and communicate clearly with users and stakeholders. Administer Google Workspace, SSO/IAM, MFA and support our migration to M365 and Entra ID. Manage endpoints using Intune/Jamf/MDM, including software packaging and secure baselines. Support LAN/WLAN/VPN/DNS/DHCP/firewall changes and monitoring; liaise with providers as needed. Manage the full device lifecycle — builds, replacements, RMAs and onboarding/offboarding. Contribute to deployments and upgrades (office builds, Wi-Fi refresh, EDR rollouts, migrations). Improve automation, self-service, reporting and monitoring through scripting and tooling. Champion security best practice across patching, hardening, device compliance, and access controls. What You’ll bring Strong troubleshooting skills across Windows, Linux, macOS, mobile OS and SaaS platforms. Demonstrable ability in administering M365, Entra ID, IAM, MFA/SSO, device compliance, EDR/AV and patching. Comfortable with ITSM/ticketing, change control and documentation. Familiarity with scripting/automation (PowerShell/Bash) is a plus. Clear, confident communication skills — translating technical concepts for non-technical users. • Subject-matter expertise in at least one of the following: Microsoft tenant migrations Microsoft Intune Microsoft Endpoint Configuration Manager SharePoint Administration JIRA Administration API integrations AI adoption For this role you can be based in any of our locations. To apply, you must have the legal right to work in your chosen location. When applying, please submit your CV in English Why Open Cosmos? Work at the cutting edge of space technology with customers around the globe. A mission-driven company making space accessible to help solve real-world challenges. A diverse, ambitious, and supportive team.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Geospatial Data Engineer Job Description Job Purpose: To enhance MapAction’s data processing and automation capabilities Location: Remote but based in the United Kingdom. Salary: £36,000- £40,000 per annum, subject to experience Contract: Full time, substantive position for 12 months. Start ASAP. Reports to: Head of Data & GIS The Opportunity Are you a Data Engineer eager to use your skills to help people in humanitarian crises? At MapAction, you can do exactly that. We are offering an exciting opportunity for a Geospatial Data Engineer ready for their next challenge in a fast-paced, dynamic humanitarian response organisation. You’ll join our Technical Team to support the delivery of geospatial data processing and automation projects, working alongside an incredible community of expert volunteers and colleagues. In this role, you’ll contribute to four core areas of MapAction’s mission: emergency response, preparedness, anticipatory action, and training. These are at the heart of everything we do—and we’d love for you to be part of it. Why MapAction? MapAction is a leading humanitarian mapping charity delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector and are a technical partner of the United Nations and the Red Cross/Red Crescent Movement, as well as Non-Government Organisations such as World Central Kitchen. MapAction increasingly focused on helping Civil Society Organisations, regional entities and national ministries. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. We have an exciting and ambitious new strategy which will see us help reduce vulnerability in emergencies for those at greatest risk through supporting local technical and emergency leadership and promoting the exchange of well analysed data. A particular area of focus will be on the use of Anticipatory Action prior to an emergency. What will you do? You will be expected to conduct and automate data processing (extraction, transformation, loading) from various online sources. Requirements will be defined in collaboration with MapAction staff, volunteers or partners. Working with external partners such as UN agencies, NGOs and Disaster Management Agencies is a key part of this position. Main Responsibilities • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Ensure find-ability. availability, scalability, reproducibility, accessibility, interoperability and reusability of all data-products, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS Coordinator and Volunteer team, • Support data-related project scoping in collaboration with MapAction’s Head of Data & GIS, • Support internal systems maintenance and administration in collaboration with MapAction’s IT Support Engineer, • Engage with MapAction’s Volunteer team on data-related projects, • Support development of Data Engineer and Data Science training materials in collaboration with MapAction’s Head of Capacity Building and Volunteer team What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Ability to improvise solutions for emergency response teams Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • At least one year of professional experience working in the area of data engineering, • Experience and proficiency working with Python and Jupyter Notebooks, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Collaborative code management using Git & GitHub Desirable: • Experience with QGIS or ArcGIS, • Experience with Systems Engineering, • Understanding of the Software Development Life cycle (preferably Agile), • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • Experience with BI, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Project management experience, • Humanitarian knowledge/experience Additional Information • This is a remote position and you will be expected to attend some weekend training events throughout the year (camping at various venues around the UK). Travel expenses are paid and reasonable time off in lieu provided., • This is a full time position for 12 months with a possible extension to be confirmed end of 2026, • Required to work remotely and to attend team days near the MapAction office in Oxfordshire at least 6 times a year, at own expense, • 30 days holiday (pro rata) with a workplace pension and also paid training opportunities to help further your career, • Must have the right to live and work in the UK - MapAction is unable to consider candidates who do not already hold appropriate permissions and can not help facilitate a relocation, • Part time of 4 days a week will be considered, please state when applying if you would like 4 or 5 days a week., • Contract may be extended if additional funding is secured This is an important role in a small, highly specialised charity and an appreciation of, and affinity with the humanitarian purpose of the charity is essential, as well as a willingness to take up additional tasks outside of the normal role when needed. Equal opportunities policy MapAction is an Equal Opportunities employer. All employees have a personal responsibility to promote and support measures designed to create a working environment which is free from harassment or discrimination on the grounds of gender, marital status, age, race, religion, disability, sexual orientation, membership of the Traveller community of HIV & AIDS status. MapAction also positively encourages women and those from the BAME community to apply. How to apply: Please provide a CV and cover letter that sets out how you meet the required competencies for the role, this is a mandatory requirement for this position. All applications should be made via our website and GoHire. Deadline for applications is 5th January 2026 however we are running a rolling recruitment and will interview any suitable candidates as soon as they apply.

We help the world Be Everyday Ready™ Today’s threatscape is relentless. So are we. At Cyderes, we specialize in building practical IAM, exposure management, and risk programs, and stopping active threats fast with MDR that works with your existing security tools — all augmented by AI and driven by seasoned operators. Our tireless global team is laser-focused on cybersecurity, arming organizations with the people, platforms, and perspectives they need to conquer whatever tomorrow throws their way. About the Role:The IAM Consultant, SailPoint ISC is a customer-facing consultant responsible for implementing the technical deployments of IAM solutions at Cyderes. They work on customer projects and programs, directly with the Engagement Lead and Project Manager to deliver outstanding solutions. They maintain a high-quality of work and delighting our clients. The IAM Consultant will be well-versed in their area of expertise and will focus on delivering SailPoint. The consultant will provide subject matter expertise in SailPoint during consulting engagements, which assess, define, install, and configure a client’s security capabilities in the policy, process, technology, or organizational areas. The IAM Consultant also identifies gaps and recommends cost effective best practices to manage client risk and increase their understanding of security and privacy risk and compliance. • Work as part of a high-end consulting team to deliver product and domain expertise in Identity & Access Management, • Work on the technical delivery of IAM implementation projects, • Help gather business and technical requirements from the customer, • Provide input to functional and technical design where required, • Ensure that the technical solution meets the customer requirements and performs as per design, • Create customer delivery documentation such as implementation and configuration documents, test plans and run books, • Provide assistance to pre-sales activities such as developing client focused proposals, and running technical PoC’s, • Work closely with project manager and engagement manager to deliver tasks on time, within budget and with high quality, • Identify new and existing customer opportunities, • Help create strong customer relationships with technical stakeholders, • Share best practices with team members to contribute to enhance the IAM center of excellence, • 2+ years of hands-on experience in SailPoint ISC doing:, • Installation and configuring, • Developing lifecycle workflows, • Onboarding applications with automated provisioning, • Configuring reports and dashboards, • RBAC and Access Reviews, • Experience with databases (such as Oracle, MSSQL, MySQL), • Experience with Java or BeanShell and PowerShell preferred, • Experience with the web technologies such as XML, SPML, Web Services (SOAP/REST), web and application servers, • Strong communications skills (written and verbal), • SailPoint ISC Engineer Certification - preferred, • Readiness to travel up to 20% annually.Cyderes is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status. Note: This job posting is intended for direct applicants only. We request that outside recruiters do not contact us regarding this position.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description Team: Finance Reporting to: Group Financial Controller Location: Remote / London ABOUT: GAIN is a creative-led, insight-driven company that blends data, tech and creativity. We believe the best ideas emerge where intelligence and creativity unite, where insight sparks imagination, and where innovation turns possibility into progress. We are explorers of new frontiers, shaping bold strategies that move people, brands, and businesses forward. Individually and together, our specialist teams provide the vision, data, and confidence brands and organisations need to make braver, more impactful decisions. Today as GAIN, we work as a united force, using data to fuel creativity, and technology to unlock new possibilities. We don’t just embrace innovation, we engineer it, transforming information into action, and ideas into breakthroughs. This is where rebel thinking, smart technology and data-driven creativity shape the future. THE ROLE: We are seeking a highly skilled and detail-oriented Senior Financial Accountant to join our finance team. In this role, you will take ownership of the group monthly consolidation process, oversee robust financial controls, support management of group liquidity, and ensure strict statutory compliance. This position bridges the gap between technical accounting and forward-thinking finance, offering a distinct opportunity to lead systems optimisation, manage core transactional workflows, and drive automation across our corporate structure. You will ensure all financial control and compliance aspects are managed and delivered in an effective and timely manner. You will also play an important role in the relationship with Senior Stakeholders including liaising with CFO and work with the Finance Business Partners. Responsibilities will include: 1. Financial Reporting and Group Consolidation • Group Monthly Consolidation: Lead the end-to-end monthly consolidation process for the group's entities, ensuring timely and accurate reporting., • Month-End Management: Oversee the month-end close processes for corporate entities, maintaining a strict and efficient close calendar., • Variance Analysis & Commentary: Perform rigorous analytical reviews on financial performance, delivering insightful variance analysis and commentary to support strategic decision-making., • Geographic Entity Reporting & Transfer Pricing: Manage geographic entity reporting requirements and support the implementation, monitoring, and documentation of the group's transfer pricing policies. 1. Corporate Accounting • Holding Company & Corporate Entities: Take ownership of the accounting, intercompany transactions, and net asset tracking for Group Holding Companies and corporate entities., • Legal Entity & Restructuring Changes: Account for corporate reorganisations, legal entity changes, capital restructurings, and post-acquisition integrations across the group., • FRS 102 & Technical Reporting Updates: Lead the technical assessment and operational transition for accounting standard updates under FRS 102, specifically managing the transition and ongoing compliance for operating lease changes (in line with the convergence toward IFRS 16 principles). 1. Cash Management & Treasury • Cash Flow Forecasting: Develop, maintain, and roll forward rolling group cash flow forecasts to provide clear visibility on short and long-term liquidity., • Treasury & Liquidity Management: Monitor daily cash positions across group bank accounts, optimise working capital, and manage internal funding or currency requirements where necessary. 1. Systems, Process Optimisation & Automation • Sage Intacct Administration: Act as a key finance super-user for Sage Intacct, ensuring the system is configured effectively to support multi-entity reporting, dimension tracking, and smooth month-end workflows., • AP Process Modernisation: Focus on the integration of automated invoice-processing tools, optimising purchase order workflows, and refining control testing to ensure efficient, paperless AP operations., • AR & Billing Efficiency: Drive improvements in the Accounts Receivable workflow, optimising billing cycles, automating payment collection matches, and ensuring robust aging analysis to improve working capital., • AI & Process Development: Actively identify, test, and implement AI-driven process improvements and software integrations to eliminate manual accounting tasks and reduce transaction cycle times. 1. Financial Governance & Control • Balance Sheet Integrity: Review group balance sheet reconciliations to ensure accuracy, resolve complex discrepancies, and mitigate financial risk., • Financial Control Review: Regularly evaluate, design, and implement internal financial controls to safeguard company assets and streamline operations. 1. Taxation, Audit & Compliance • Group Tax Management: Manage group-wide tax compliance filings and reporting obligations., • Statutory Compliance: Ensure full alignment with UK/Non UK statutory accounting regulations and filing requirements., • Audit Management & External Liaison: Act as the primary point of contact for external accountants and auditors, managing the preparation of year-end audit files and ensuring a smooth, efficient audit cycle., • Technical Updates: Stay abreast of changing accounting standards and technical updates, assessing their impact on group financial practices and implementing required adjustments., • Global Advisor Management: Manage and coordinate relationships with external accountants, tax advisors, and local service providers across our international regions, including Canada, Spain, the Philippines, and India. 1. Payroll & Payroll Accounting • Global Payroll Operations: Oversee and support the execution of global payroll across fortnightly and monthly timetables for the UK, USA, Philippines, India, Spain, Guernsey, Ireland, and Canada., • International Tax & Social Security Compliance: Ensure strict adherence to regional compliance requirements, ensuring statutory tax payments, pensions, and Social Security contributions are calculated accurately and paid on time across all jurisdictions., • Payroll Ledger Control: Collaborate closely with the Group Financial Accountant to ensure that all payroll-related balance sheet accounts are fully reconciled, clear, and accurate., • Liquidity Coordination: Provide an accurate, forward-looking view of payroll funding timings for all countries to directly support group cash forecasting workflows Requirements Qualifications • Fully ACA/ACCA qualified Skills Requirement AI & Automation • Ability to leverage AI tools and financial automation platform capabilities to streamline workflows, enhance data analysis, and improve process efficiency. Communication • Ability to communicate to different stakeholders in the business and manage external stakeholders where required. Time Management • Ability to multi-task, prioritise work and meet deadlines. Team Working • Collaborate effectively with team members to delivers common goals Attention to Detail • Demonstrate accuracy and pay attention to detail. Organisation • Ability to manage work load and organise work streams Excel • Strong Excel Skills, basic (VLookup/Pivot Tables) are Essential. Technical • Strong understanding of UK GAAP and ability to grasp technical accounting matters and apply to real time scenarios Consolidation • Strong understanding of monthly consolidation processes and requirements Financial Control • Strong understanding of key compliance and reporting requirements Commercial • Ability to grasp commercial aspects of the numbers. Problem Solving • Ability to work independently on projects and work through challenges to deliver an effective result. Analytical • Be able to summarise and deconstruct large volumes of data into an understandable form Risk Awareness • Understanding of risk factors from a financial and operational perspective for the business. HOW YOU’LL WORK: Rebel Thinking: We don’t accept “good enough”. Rebel Thinking is about curiosity with courage. We make it safe to question assumptions, challenge the obvious, and explore smarter, braver ways forward, even when it feels uncomfortable. This is how new ideas, better products, and real breakthroughs happen. Make It Happen: “We turn intent into momentum.” Making it Happen is about turning ambition in to action. We move fast, learn fast and push through obstacles together. Progress beats perfection, and momentum creates impact. Swarming Our Expertise: “Individually smart. Collectively unstoppable.” Swarming our Expertise means we win together. We commit to developing our expertise so that by combining diverse skills, perspectives and experiences, we solve harder problems faster and deliver results no single expert could achieve. Benefits Our benefits for UK employees include: • Private Medical Insurance, • Life Assurance, • Income protection, • Employee Assistance Programme, • Cycle to Work salary sacrifice scheme, • Tech & Wearables salary sacrifice scheme, • Octopus EV Scheme, • Discounts and deals on a range of items from hotels, holidays and hormone testing to cinema, gyms and will writing GAIN Academy: At GAIN, we invest in our people as seriously as we invest in our clients. The GAIN Academy is our internal learning and development hub, a place to grow your skills, explore new ideas, and take your career in the direction you want. From Leadership and Management development, AI fluency to mentoring, experiential workshops and on-demand learning experiences, the Academy is built around you. Professional development isn't something that happens to you at GAIN, it's something you own. GAIN is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. In This Role, You'll Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role-based access control and create interactive UIs that surface AI-generated reports and matching results. · Build all 5 portals and EdTech Hub frontend from scratch · Establish a shared component library and Design System · Implement role-based access control and authentication integration · Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires · Build AI integration screens — report viewer, expert matching, recording uploads · Create monitoring dashboards, cohort tracking, and analytics views EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. Design the Core APIs for the unified platform, automate end-to-end business processes with a workflow engine, and safely migrate legacy data. This isn't just API development — you're architecting the entire foundation of the platform. · Design and build core domain APIs — User, Startup, Expert Pool · Automate Application → Diagnosis → KO → Coaching workflows using a workflow engine · Design the unified DB schema with audit logging and permission middleware · Architect and execute data migration from legacy DB, CSV, and SharePoint sources · Enhance and scale the existing authentication system as the platform grows · Lead backend code reviews, establish architecture and engineering standards · Senior backend engineer experiences · Python backend development experiences · Large-scale DB schema design and operations · RESTful API design and large-scale service architecture · Authentication/authorization system integration or scaling experience · Business-level English fluency required — daily collaboration with a global team Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor [한국어] 통합 플랫폼의 Core API를 설계하고, 워크플로우 엔진으로 전체 비즈니스 프로세스를 자동화하며, 레거시 데이터를 안전하게 마이그레이션합니다. 단순히 API를 개발하는 것이 아니라, 플랫폼의 뼈대 전체를 설계하는 역할입니다. · User, Startup, Expert Pool 등 핵심 도메인의 API를 설계하고 구축합니다 · 워크플로우 엔진으로 Application → Diagnosis → KO → Coaching 프로세스를 자동화합니다 · 통합 DB 스키마를 설계하고, 감사 로그와 권한 미들웨어를 구현합니다 · 기존 DB, CSV, SharePoint 등 다양한 소스의 데이터 마이그레이션을 설계하고 실행합니다 · 기 구축된 인증 시스템을 플랫폼 확장에 맞춰 고도화합니다 · 백엔드 팀의 코드 리뷰를 리딩하고, 아키텍처와 엔지니어링 표준을 수립합니다 · 시니어 백엔드 엔지니어 · 풍부한 Python 기반 백엔드 개발 경험 · 대규모 DB 스키마 설계 및 운영 경험 · RESTful API 설계와 대규모 서비스 아키텍처 구축 경험 · 인증/인가 시스템 연동 또는 확장 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · 아키텍트 마인드. 코드를 짜기 전에 시스템 전체의 구조를 먼저 그리는 분. 최적의 설계에 대한 집착이 있는 분입니다. · 빌더. 레거시를 유지보수하는 것보다, 백지에서 새로운 시스템을 구축하는 것이 설레는 분입니다. · 임팩트 지향. 5,000개 이상의 스타트업이 사용할 플랫폼을 직접 만든다는 사실에 동기부여가 되는 분입니다. · AI 네이티브. AI 코딩 도구를 일상적으로 쓰고, AI 파이프라인과의 통합에 열린 자세를 가진 분입니다. Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based, • Contract: Fixed Term Contract

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. • Evolve the Interactive Learning Plugin's recommendation system, • Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations., • You’ll own a real-time recommendation service, • Build and operate applied models, • Develop, validate, version, monitor, and iterate on models used by the recommendation system., • You’ll own model training & serving, • Define what recommendation quality means, • Develop offline, online, and longitudinal measures of recommendation performance., • You’ll own feature pipelines, monitoring of the model and architecture, • Ship incremental improvements, • Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow., • Integrate improvements into the existing recommender rather than waiting for a complete replacement system., • Partner across disciplines, • Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service., • Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis., • Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions., • Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. • Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn., • HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems, • Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: • Experience with content, education, onboarding, or learning recommendation systems, • Experience with SaaS product telemetry and customer-account data, • Experience using warehouse-scale behavioral data, • Experience with directed graphs, sequence models, or prerequisite-aware recommendations, • Experience with contextual bandits or other exploration strategies, • Familiarity with Grafana or the broader observability ecosystem, • Experience with open source software or transparent development practices, • Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Description At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a talented, fully remote Software Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG. We deliver, deploy and help integrate backend services alongside external co-dev clients as part of industry leading game projects, and collaborate to define solutions and implement features on time and to a high standard. We’re also growing our pool of AWS Certified engineers - and we encourage you to study for the certification using your Learning & Development budget when you join us. Requirements • Experience in game development and having worked on at least one game title in a commercial setting developing server backends for AAA games, free-to-play (mobile) games, casino apps or similar, with a large number of concurrent users, • Production experience with at least one of Java, Golang, C#, C++, Kotlin, • Experience with one or more cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Associate or above) would be advantageous, • Experience with infrastructure as code tools, e.g. Terraform, • Demonstrable database experience with both SQL and NoSQL, • Experience building distributed applications, • Experience with Git or Perforce, or other source control software, • Ability to adapt to new tools, languages, and concepts as required by the project, • Knowledge of Microservices and Service Oriented Architectures (SOA), especially Kubernetes and Docker, • Have used or built a CI/CD pipeline to validate and test code, • An understanding of how to use LLMs to process and query structured and unstructured data, • Experience using Gen AI for code generation, • Ability to create supporting documentation, designs, comments, etc, • Excellent time management and ability to work autonomously, • Attention to detail with ability to comprehend and follow direction, • Clear communicator with the ability to verbalise conceptual thoughts and the willingness to accept constructive critique Responsibilities • Individual contribution: construct systems, write code, deployments, etc., • Work with the team lead and stakeholders to estimate and prioritise work, • Work alongside peers to iterate on solutions that fit requirements, • Keep the project lead and producer apprised of revised estimates and delivery times, • Promote high standards and process: tests, CI/CD, documentation, • Help and support team members in day-to-day work, • Understand, maintain and expand existing code and develop new features or systems Benefits Please don’t forget to include your CV, a cover letter, and links to your GitHub, website or portfolio. Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.

Technical Solutions Engineer The COMPANY With over 20 years of experience our Client are pioneers in AI-powered digital pathology software and services. They are the acknowledged global leaders in supplying this specialist software to the life sciences sector, allowing them to analyse and interpret slide images. The ROLE Due to an internal promotion they now require a Technical Solutions Engineer to join their team. Working from home the Technical Solutions Engineer will be responsible for configuring and installing my Clients software for their customers. Working from home the Technical Solutions Engineer will; • Handle software-related requests, • Analyse software related issues and propose solutions, • Troubleshoot software, • Identify root causes of software problems, • Conduct software testing and installation, • Troubleshoots IT related issues, • Manage software and database migrations, • Advise customers on hardware and software configurations and implementation, • Develop customer relationships through professional and dependable interactions The PERSON The right Technical Solutions Engineer candidate will be an intelligent and dynamic individual who wants to develop their career further within this progressive organisation; • Experience as an IT engineer, Technical Solutions Engineer, Application Support Engineer, etc., • Scripting knowledge, • Comprehensive understanding of Microsoft tools and application environments, • Networking knowledge, • Strong communication, organization, problem-solving, and diagnostic skills, • At ease with showcasing solutions to various audiences, including engineers, developers, architects, IT managers, and executives, • Ability to work independently and take ownership of projects Salary: £42,000 Starting salary PACKAGE includes; Bonus Pension Income protection Etc. Location: Working from home, living anywhere in the UK. Suitable living locations include: Cambridge Peterborough Nottingham Northampton Leicester Birmingham Leeds Sheffield Manchester Liverpool Bristol Ipswich Coventry Wolverhampton Edinburgh Glasgow London Alternative Titles: Software Engineer, IT Solutions Engineer, Technical Software Engineer, IT Engineer, Applications Engineer, Application Support Engineer Mana Resourcing is a specialist recruitment company working within the Engineering, Sales, IT and Commercial sectors. We are established to service and support the recruitment requirements of modern businesses and candidates alike. INAND1

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to_and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to _, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer. About the job This position is needed to deliver the best-in-class Twilio SDK experience for our customers. Twilio’s SDK engineering team builds robust, powerful SDKs and a GraphQL layer to enable developers build their own Contact Center UIs and real-time AI Contact Center products. Many other teams rely on integrating and exposing their services via the Unified SDK layer to deliver their advanced features to our customers. The position is especially critical in supporting Twilio’s expansion and will be central to creating a core product that provides leverage to all of Twilio’s Flex Contact Center and engineering teams! Responsibilities In this role, you’ll: • Design, build, and maintain large-scale backend services with a focus on reliability, availability, scalability, and performance., • Lead technical design efforts and ensure architecture decisions are well-documented and future-proof., • Collaborate closely with senior engineers, product managers, and cross-functional stakeholders., • Champion high-quality engineering practices, including automated testing, maintainable code, and thorough documentation., • Own and continuously improve Twilio’s developer experience for SDK customers., • Support customers by troubleshooting issues and promoting backend and SDK best practices., • Contribute to operational excellence by maintaining a high reliability bar and participating in incident response and system improvements. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: • Bachelor’s/Master’s in Computer Science, Engineering, or related field., • 5+ years of experience building and operating cloud-scale backend systems., • Strong programming skills in backend languages such as Java or Scala., • Experience authoring technical specifications and delivering end-to-end system designs., • Strong fundamentals in concurrency and distributed systems., • Experience working with AWS or other cloud platforms at scale., • Proven ability to maintain a high operational excellence bar and mentor junior engineers on reliability and maintainability., • Strong communication skills and the ability to thrive in collaborative, fast-moving teams. Desired: • Excellent problem-solving and critical thinking skills., • Any prior experience building SDKs and GraphQL BFF layer is an added advantage., • Ability to establish backend engineering guidelines and represent the team within the broader Twilio engineering organization., • Passion for delivering high-quality products and continuously learning new technologies., • Strong sense of ownership and accountability., • Comfortable navigating ambiguity and driving clarity in evolving environments. Location This role will be remote and based in the UK Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call . Additionally, we empower employees to build by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, _ Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Ideals is a global B2B SaaS product company recognized as _ in the secure business collaboration market. Trusted by over 2,000,000 business users at 300,000 companies worldwide, our data room platform powers hundreds of billion-dollar M&A deals every day for the world's top investment banks, advisory firms, and corporate dealmakers. We're looking for a Premium Solutions Manager to join our remote team in London and become the go-to operational partner for investment banking associates, analysts, and deal teams executing high-stakes M&A transactions. Working hand-in-hand with our Key Accounts sales team across the UK, you'll ensure every advisory and investment banking client experiences flawless execution – from onboarding through deal close. This role is for someone tech-savvy and sharp under pressure: capable of untangling complex issues quickly, communicating solutions with absolute clarity, and building instant credibility with some of the world's most demanding business professionals. This is a unique opportunity to build a track record at the center of the world's most important M&A deals, inside a multinational, fast-evolving SaaS company. Enable strategic and premium clients to execute their projects successfully through high-touch operational execution, product guidance, and workflow coordination Build trusted operational relationships primarily with the deal execution team, while maintaining credibility with other stakeholders when required Guide clients during onboarding, project launch, migrations, and other critical project phases Run regular check-ins with the client team and internal sales account owner to surface early warning signs early, before they escalate Use AI-assisted and conventional tools to proactively identify risks, errors, or friction points before they surface as client-reported issues Advise clients on best-practice setup, permissions, workflows, governance structures, Q&A processes, reporting, and user management Investigate clients' issues, identify root causes rather than symptoms, and resolve hands-on or propose practical workarounds Perform operations within the data room: user invitations, permissions setup, redaction, translation, migrations, exports, Q&A configuration, and so on directly or by coordinating the Professional Services team Coordinate with Sales, Product, Customer Support, Legal, Security, Professional Services, and Operational teams to resolve client-critical matters efficiently Ensure accurate documentation of client requests, actions, decisions, escalations, and follow-up items Share recurring issue patterns, workarounds, and best practices with Customer Support, Sales, and Product teams Contribute to retention and expansion outcomes indirectly by improving client experience, product adoption, operational confidence, and trust in Ideals 2+ years of experience in a Solutions Manager, Account Manager, Technical Account Manager, Sales Engineer, or Customer Support role – ideally supporting high-stakes or deadline-driven B2B clients Comfortable operating in fast-paced, high-pressure environments where deadlines are measured in hours, not weeks Clear, confident communicator – able to explain complex technical issues simply, in writing and in live conversation Naturally client-driven, with strong emotional intelligence and the judgment to know when to guide, when to execute, and when to escalate Sharp analytical and problem-solving skills, with a knack for finding root causes and real solutions, not just high-level advice Highly organized and proactive self-starter, comfortable managing multiple concurrent priorities without close supervision Native-level proficiency in English; additional business languages are a plus SaaS, financial, fintech, or information security industry background Genuine interest in financial markets, M&A, or the investment banking world Experience using AI tools to drive business efficiency, streamline processes, or enhance data-driven decision-making Screening call with the Talent Acquisition Specialist (45 mins) Presentation and Role Play Competency-based interview with the Talent Acquisition Specialist (90 mins) Hiring Manager interview (60 mins) We highly value our people, so we will empower you with all the resources and support to help you reach your full potential. Remote-first flexibility to shape your ideal workday Home workplace budget Co-working expense coverage Individual IT budget for extra equipment Top-tier tech and AI-powered tools Access to Ideals Academy with numerous courses Investment in external learning and development activities Guidance in Personal Development Plan creation Professional literature and subscriptions coverage Support of your passion as a speaker or writer Internal talent mobility opportunities Tailored Wellness Package for your physical and mental health Funding for sports competitions Paid health-related time-off 25 business days of annual leave NEST pension program contribution Budget for meetups with your local team Generous internal referral program Commitment, Excellence, Collaboration, Trust and Care are core values to the Ideals team. For us, these are the principles that every Idealer lives and breathes. We are on the lookout for like-minded individuals who share our values. By doing so, we create a team where talents feel at ease and work to the best of their abilities. _. Ideals is an equal opportunity employer Ideals is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people from all walks of life. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, or citizenship.

Description Location: Cambridge, UK – This position offers flexible working options, including predominantly remote work. Applicants are preferably based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required. Want to build the engineering foundations that help teams across Jagex deliver better software, faster? As an Automation Engineer at Jagex, you’ll design, build, and evolve the automation systems, tools, and workflows that support an open-world experience in Unreal Engine across PC and console platforms. As our Lead Delivery Engineer, you’ll establish and lead a new Delivery Engineering function within our Developer Platform division. Your team will own the shared tooling, automation, standards, and engineering practices that help our game, platform, and product teams build, test, and release high-quality software with greater speed, confidence, and consistency. This is a genuinely greenfield opportunity where you'll grow and lead a multidisciplinary team of Automation Engineers, set its direction and priorities, and work with development leads across multiple products and technology stacks to solve delivery challenges and drive the adoption of modern engineering practices. What you’ll be doing: • Shape and execute the strategy for Delivery Engineering, establishing a clear roadmap that improves developer productivity, software quality, release reliability, and engineering consistency across Jagex., • Build and lead a growing team of Automation Engineers, developing the team’s capabilities across software automation, testing, continuous delivery, release engineering, and developer tooling., • Partner with game, platform, and product engineering teams to understand their delivery challenges, turning their needs into practical solutions that development teams trust, adopt, and benefit from., • Lead the development of reusable platforms, automation, and engineering standards, helping teams improve how they build, test, release, and operate software while retaining appropriate autonomy., • Modernise fragmented tooling and delivery practices across the business, reducing duplication and applying emerging technologies, including AI, where they can demonstrate measurable improvements in engineering productivity., • Define and track engineering effectiveness metrics, using data to demonstrate improvements in developer experience, delivery performance, software quality, and platform adoption. What we’re looking for: • Proven experience leading the design and evolution of automation platforms, engineering frameworks, or developer tooling within a modern software engineering environment., • Strong programming experience in one or more languages, such as C#, Java, Python, Go, or TypeScript, with the technical depth to guide teams in building scalable and maintainable engineering solutions., • Extensive experience with automated testing and continuous delivery, including test automation frameworks and CI/CD platforms such as GitHub Actions, TeamCity, Azure DevOps, or comparable technologies., • Practical experience with cloud-native engineering environments, including cloud platforms, Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes., • Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across complex or varied technology stacks., • Proven ability to lead technical initiatives and drive adoption, including defining engineering metrics, influencing across teams, and delivering measurable improvements in software delivery. What we offer: When you join Jagex you can look forward to a generous Perks & Benefits package including: • Private Healthcare, including Dental Plan., • Discretionary annual performance bonus., • Minimum 6% Pension contributions., • Life Insurance., • Enhanced family leave policies from day 1., • Flexible working hours., • 25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more! Inclusion & Accessibility Statement We are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability. If you require any reasonable adjustments to support you during the recruitment process, please let us know when you’re invited to interview. Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. About Jagex We are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years. As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit _ . Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We’re looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers’ Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity. Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time. The Opportunity: As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source _ and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes. Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system What Makes You a Great Fit: • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points For: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Junior AI Engineer Our client is a rapidly growing tech-driven company based in central Manchester, leveraging artificial intelligence to build smarter, more efficient solutions across their digital platforms. With recent investment and a growing data team, they're looking to bring on a Junior AI Engineer to support the development and deployment of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities • Collaborate with senior engineers and data scientists to build ML/AI models., • Perform data wrangling, cleaning, and feature engineering on varied datasets., • Help deploy machine learning pipelines and support integration into production., • Evaluate model performance and suggest improvements., • Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: • Degree in Computer Science, Artificial Intelligence, Data Science, or a related field., • Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch., • Basic understanding of machine learning algorithms and model evaluation techniques., • Strong analytical and communication skills., • Comfortable working in a collaborative environment and taking feedback. Desirable: • MSc in a relevant discipline., • Exposure to NLP, computer vision, or recommendation systems., • Familiarity with cloud services (AWS, GCP, or Azure)., • Experience with Git and modern development practices., • Interest in deploying models into real-world applications. What’s on Offer • Competitive salary with room for growth., • Hybrid working model – 2 days a week in their modern Manchester office., • Mentorship and structured development plan., • Access to cutting-edge projects and tools., • 25 days annual leave plus bank holidays, pension scheme, and more. Interested? Please Click Apply Now! Junior AI Engineer

About StarComplianceStarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency. Location: Candidates MUST be UK based and have right to work. We are seeking a highly skilled and pragmatic Site Reliability Engineer (SRE) to help lead our evolution from legacy single-tenant monoliths to modern, scalable, multi-tenant microservices. This is a pivotal role for our business, enabling faster delivery, improved reliability, and real scalability across our SaaS portfolio. While we’ve got a solid handle on infrastructure monitoring, we’re still in the early innings when it comes to application-level observability, autoscaling, and progressive delivery strategies (e.g., canary releases, blue/green deployments). That’s where you come in. You’ll work closely with Infrastructure, Architecture, Engineering, and Support teams to design, build, and evangelize the next generation of SRE practices and tools that ensure uptime, resiliency, and customer trust. • Champion Reliability by Design: Collaborate with architects and engineers to build resilient, fault-tolerant systems across our evolving cloud-native stack., • Observability Overhaul: Lead the charge on full-stack observability, leveraging modern APM tooling, meaningful SLOs/SLIs, and actionable alerts., • Scaling Systems: Develop and implement auto-scaling strategies, load testing plans, and capacity forecasting for multi-tenant environments., • Progressive Delivery: Help implement and automate deployment strategies such as canary releases, feature flags, and blue/green rollouts., • Incident Response: Create and refine on-call processes, incident response playbooks, and blameless post-mortem routines., • Monitoring & Tooling: Own and evolve our monitoring infrastructure, integrating metrics, logs, and traces into a cohesive ecosystem., • Developer Empowerment: Build reusable templates, dashboards, and platform tooling to empower dev teams to “shift left” on reliability., • Cross-functional Collaboration: Work hand-in-hand with Infrastructure, Architecture, Support, and Engineering teams to drive shared accountability for uptime and performance., • 5+ years in SRE, DevOps, or Production Engineering roles, ideally within a SaaS or cloud-native environment., • Deep experience with cloud platforms (preferably Azure or AWS), and Infrastructure-as-Code tools (e.g. Terraform)., • Hands-on experience with Azure DevOps is strongly preferred, as our CI/CD and project workflows are fully built around it., • Proficiency with observability tools such as New Relic, Datadog, Prometheus, or similar., • Strong understanding of software deployment strategies, CI/CD pipelines, and release engineering., • Ability to code in at least one modern scripting or systems language (e.g., Python,PowerShell, Go, Bash)., • Experience operating multi-tenant environments with an emphasis on security, performance, and cost optimization., • Excellent communicator who thrives in cross-functional settings and can influence engineering culture around reliability., • Experience in regulated industries (e.g., financial services, healthcare)., • Background with service mesh architectures, distributed tracing, and gRPC/GraphQL., • Familiarity with incident management platforms (e.g., PagerDuty, OpsGenie)., • Contributions to open-source SRE tooling or frameworks. StarCompliance Background Checks All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks. Equal Opportunity Employer Statement We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws. This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Security · Reliability · Growth Company: Kew Reach Product: Palette; an urban planning tool for biodiversity and resilience gain Location: UK-based · remote-first or hybrid options available (where remote first, occasional London / team days are required) Type: Full-time · permanent Reports to: CEO Salary: Competitive, dependent on experience A better future for people and planet, made possible through the power of a thriving and resilient natural world. Launched in 2024, Kew Reach is a joint venture with the Royal Botanic Gardens Kew, set up to deliver nature-based solutions to restore ecosystems in any setting. We accelerate nature-positive action at scale, grounded in scientific expertise, shaped by creative thinking, and sustained through collaboration. We put the knowledge of more than 500 scientists and a global network of specialists directly into the hands of the professionals shaping the built and natural environment, so they can make defensible, climate-resilient decisions about nature restoration projects of every size, from ecosystem regeneration to urban development. What We Do We offer an end-to-end service guided by the Kew Method, spanning baseline assessment, climate-informed design and delivery, species sourcing, long-term monitoring and capacity building, ensuring every project is credible, resilient and delivers measurable nature gain. This spans three Labs: the City Lab, bringing climate-resilient planting and green infrastructure into city and development environments; the Restoration Lab, turning degraded land into resilient, biodiverse ecosystems; and the Infrastructure Lab, delivering nature-based solutions for major capital projects. Capacity building runs through all three, equipping local teams and institutions to sustain nature-positive action after handover. Behind all of it: 500+ Kew scientists, 400 collaborating institutes across 100 countries, and 260 years of botanical research. Introducing Palette Our platform, Palette, brings that same scientific confidence to decisions about planting, biodiversity and habitat. Built around our core climate-resilient tree species-selection tools, we're expanding its capabilities to cover pollinator and habitat analysis, combined biodiversity planning, and tools designed for local-authority use. We build Palette for the people who make and influence these decisions: engineering and environmental consultancies, architecture firms, landscape architecture practices, and the public-sector. You will be the engineer who owns the health of the platform and its growth: its security posture, its reliability and deployment pipeline, the day-to-day usability of the application, and the new client-facing capabilities we build in the future. As those capabilities grow, you'll mature the platform from a single application into a suite of tools that you manage centrally. You'll work alongside our Senior Data Scientist (who owns the scientific data pipeline and modelling) and the CEO. This is a founding platform-engineer role: broad, high-ownership, and, for now, the sole engineer on the platform side. You'll turn client needs and our domain expertise into features, not just keep the lights on. It suits someone who wants the autonomy and scope of an early hire and is comfortable being the person the platform depends on. The immediate priority is honest: the migration to our current AWS architecture was largely AI-assisted. The architecture is sound and well-documented, but there is a known, already-scoped list of hardening, reliability and polish work to reach a confident commercial launch (we maintain a living security checklist and Architecture Decision Records). We need someone who can pick it up, prioritise it, and execute it to a professional standard — and then lead the platform's evolution, shipping the features that deepen what clients can learn about their sites. · Grow the platform beyond its first study - turning client needs and our scientific domain expertise into features that help users understand their sites (climate, soils, canopy, biodiversity context) and act on that understanding (planting design, species palettes, greening and resilience interventions, outcomes over time). · Work directly with users and the CEO to shape the roadmap: run lightweight discovery, prototype, ship, measure, iterate. · Design features that generalise. The platform is built with reserves for multiple Labs and studies (Urban, Infrastructure, Restoration); build so a new capability serves more than one use case where it sensibly can. · Extend the data and API surface thoughtfully alongside the data engineer — they own the science; you own how it becomes a usable, reliable product experience (geospatial site tools, maps, exports, reporting, integrations). · Balance new-feature delivery against the hardening and reliability work below; neither should starve the other. · Take our launch security checklist from "mostly coded" to "verified and deployed” WAF rollout (the construct exists; deploy count-mode first), security response headers including a real CSP, and CloudFront in front of the ALB. · Harden the authentication and session model (WorkOS / AuthKit): replace our currently long-lived stateless JWT sessions with shorter-lived tokens plus server-side session revocation, tighten cookie flags and redirect URIs, and enable MFA/SSO. · Drive secret hygiene: complete the git-history secret scan and purge, rotate anything historically exposed, keep everything in AWS Secrets Manager. · Keep the CI dependency-audit gate green (now blocking) and stay ahead of new advisories. · Stand up account-level detection (CloudTrail, GuardDuty, AWS Config) as code. · Support UK data-residency requirements (everything in eu-west-2) and help assemble the evidence pack enterprise/public-sector procurement will ask for (SSL Labs grade, security-headers grade, pentest report, incident-response outline, named security contact). · Own the AWS infrastructure (defined as CDK - ECS Fargate, RDS PostgreSQL + PostGIS, ALB, Route 53, S3) and keep prod, staging and dev clean and reproducible. · Improve observability: extend our CloudWatch dashboards and Sentry setup into real alerting on error rate, latency and saturation; define and track SLOs. · Own the deploy pipeline (GitHub Actions, OIDC-based, migrations-as-a-task) and make releases boring - safe rollouts, tested rollbacks, verified DB migrations. · Run an RDS restore drill; enable credential rotation safely (fronting the DB with RDS Proxy or equivalent - the app currently reads DB credentials only at container start, so rotation needs care). · Keep spend right-sized (billing alarms already exist; extend the discipline). · Improve the end-user experience: performance, accessibility, responsiveness, error states, and the general polish that makes a paid product feel trustworthy. · Build out the multi-tenant / org-first surface (organisations, roles, seats, tiers) that's currently part-scaffolded. · Strengthen input validation, error handling and rate limiting across the tRPC API. · Keep the frontend (React 19 / Tailwind / shadcn) maintainable and consistent. · Uphold our test discipline - every new backend procedure ships with happy-path and error-path tests; the suite stays green on every commit. · Keep the architecture documented via ADRs; keep the runbooks current. · Small, reviewable, conventional-commit PRs; deploy to staging, validate, then prod. You'd be walking into a platform that is already well past prototype: · Live product with ~320 species scored across 12 UK regions. · Stack: React 19 · Tailwind 4 · Wouter · shadcn/ui · Vite (frontend); Express 4 · tRPC 11 · TypeScript · Drizzle ORM (backend); PostgreSQL 16 + PostGIS (RDS in prod, Docker locally). · Services: WorkOS AuthKit (auth) · Postmark (email) · HubSpot (CRM) · S3 / MinIO (object storage) · Google Maps Platform (mapping/geocoding) · SQS (job queue — provisioned, not yet wired). · Hosting: AWS ECS Fargate in eu-west-2, behind an ALB; CloudFront still to be added. · Infrastructure as Code: AWS CDK in TypeScript, with reusable constructs for network, database, application, storage, WAF and observability, plus separate dev/staging/prod stacks. · CI/CD: GitHub Actions with keyless OIDC deploys; staging on merge to main, prod on tag with manual approval; DB migrations run as a one-off Fargate task; a blocking dependency-audit gate. · Observability: Sentry for errors; CloudWatch dashboards for request/error rate, p95 latency and utilisation. · Quality: ~380 tests across ~39 suites and a genuine "untested code doesn't merge" culture. · Documentation: working-conventions doc, phased build plan, seven ADRs, a living launch security checklist, and deployment/bootstrap runbooks. Known open work (a realistic first-quarter backlog, already scoped): deploy the WAF; add CloudFront; finish security headers / CSP; harden sessions; purge and rotate historical secrets; enable CloudTrail/GuardDuty/Config; verify RDS encryption-at-rest and enable rotation safely; run a restore drill; and commission a pre-launch penetration test. · Strong TypeScript across the stack (Node.js backends and a modern React frontend). · Solid AWS experience and comfort with infrastructure as code (CDK ideally; Terraform/Pulumi transfers). · Demonstrable application and cloud security know-how: OWASP fundamentals, auth/session design, secret management, TLS/headers/CSP, WAF, least-privilege IAM. · Experience running production web services: CI/CD, containers (ECS/Docker), observability, incident handling, safe database migrations. · Relational databases (PostgreSQL) and an ORM (Drizzle/Prisma/TypeORM). · A test-first instinct and a bias toward small, reviewable changes. · Product sense — a track record of building and shipping user-facing features, not just infrastructure: understanding a need, designing a solution, iterating with real users. · tRPC, Drizzle, WorkOS (or similar identity platforms — Auth0/Clerk/Cognito). · PostGIS / geospatial data. · Multi-tenant SaaS (orgs, roles, seats, tiers, billing). · Selling into UK public sector / enterprise — data residency, security questionnaires, pentest evidence packs. · Frontend accessibility and performance (Core Web Vitals, WCAG). · Interactive maps / geospatial UX (Google Maps Platform; also Leaflet, Mapbox, _ or similar). · A genuine interest in the domain — trees, urban greening, biodiversity, climate resilience. This is not a data-science or modelling role - the scientific data pipeline, species envelopes and suitability methodology are owned by our data engineer. You'll integrate with that work and turn it into product, but you won't be building the models yourself. Your focus is the platform and its product: security, stability, usability, and the new capabilities we grow on top.

Our Solution Engineers are close partners of our sales team and own key components of the sales process including infrastructural/architectural discovery, collaborative solution design, and technical validation. Solution Engineers may travel up to 50% of the time and will have the opportunity to work with teams around the world, from visionary brands to innovative digital agencies. • Work directly with our Enterprise Account Executives to support DACH customers, • Support our sales team in helping prospects understand what’s possible with Contentful and how it compares to older legacy technologies, • Understand prospects' project requirements, help prospects validate these requirements against our platform, identify and mitigate technical and business risks, • Create product demonstrations and assist with technical evaluations to demonstrate how our platform solves identified business problems and integrates into a prospect’s technology stack, • Communicate prospect and customer needs and product feedback to product management, marketing, and sales., • Collaborate with Solution Architects and Customer Success Managers to ensure that newly-signed customers successfully implement and launch their projects with Contentful, • Fluency in English and German, • The desire to work in a fast-paced environment, across multiple opportunities and teams, • 3-5 years experience as a Sales/Solution Engineer/Architect or Solution Consultant for a cloud-based, growth-oriented PaaS or SaaS company; or 5-10 years experience as a developer working on digital experience delivery utilising marketing technology platforms focused on CMS, Commerce, Personalisation, etc., • Strong presentation skills that demonstrate the ability to clearly and sympathetically convey business and technical knowledge to our varying personas that are both marketing-focused and technical-focused., • Proven experience with current web technologies (JavaScript frameworks, static site generators, REST APIs, CDNs, CI/CD, etc.), • A high degree of emotional intelligence to help navigate meetings with multiple customer stakeholders with varying degrees of engagement and influence., • A natural curiosity for how technology drives change and how that transfers into business value., • Experience working with a Content Management Platform or similar technology (MarTech)., • Prior experience with solution selling methodologies and/or value based selling techniques., • Understanding the core concepts of MACH products and Composable architectures and how they relate to Contentful’s product and market position., • Join an ambitious tech company reshaping the way people build digital experiences, • Full-time employees receive Stock Options for the opportunity to share in the success of our company, • Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family., • We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days, • Time off to care for and focus on your growing family, • Use your personal annual education budget to improve your skills and grow in your career, • Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties, • An annual wellbeing stipend to care for your physical, financial, or emotional health, • A monthly communication phone/internet stipend and phone hardware upgrade reimbursement., • New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. #LI-AT1 #LI-Remote Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at _ with any information you may have. 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What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us? What’s the position? This is an exciting opportunity to join our rapidly growing technology team, responsible for continuous growth and support of an unrivalled betting experience for millions of sports fans everywhere. We’re looking for a Principal Mobile Engineer who will bring their creativity and experience to Hard Rock Bet to help us build software with a spark of magic. This is a role that works closely with Product Management, Design, QA, and Backend Engineering to deliver a full-featured mobile app. The candidate should have a strong track record developing React Native apps, as well as experience with iOS and/or Android apps, preferably with a background in sportsbook, gaming, or a related industry. Your responsibilities will include: Lead the Frontend technical direction of the Casino Technology unit, owning architectural decisions within the domain while ensuring alignment with the broader mobile platform. Partner with peer Principal Engineers in Core and Sportsbook units and the Technical Director for Mobile to define, evolve, and uphold shared engineering standards, patterns, and conventions. Own the architecture and evolution of Casino-domain features within a high-performance React Native application for iOS and Android, serving tens of thousands of daily users across multiple product variants and regulatory jurisdictions. Develop & improve a high-performance mobile application in React Native for iOS and Android, serving tens of thousands of daily users. Drive multi-quarter technical initiatives — legacy system migration, platform modernization, design system adoption, and build infrastructure improvements — collaborating across units to coordinate execution. Mentor and develop senior and staff engineers through architectural guidance, code review culture, and hands-on pairing on complex problems. Partner with Product Management, Design, QA, and Backend Engineering to shape roadmaps, inform feasibility, and make build-vs-buy-vs-migrate decisions for the Casino domain. Evaluate and integrate AI-assisted development tools and workflows to improve team productivity, code quality, and developer experience. Navigate the challenges of working in a highly regulated industry, ensuring compliance and stability while minimizing the architectural cost of jurisdiction-specific requirements. Serve as the escalation point for complex technical problems within the Casino unit — leading troubleshooting efforts, identifying root causes quickly, and turning incidents into systemic improvements. Champion comprehensive observability — analytics, error reporting, and performance monitoring — and use data to drive architectural and product decisions. Contribute to cross-unit technical forums, representing Casino engineering priorities and collaborating on platform-wide decisions. Employ state-of-the-art technologies and strategies to optimize content delivery, application performance, and developer productivity. Cultivate a positive engineering culture that values quality, pragmatism, and continuous improvement. What are we looking for? We are looking for a technical leader who raises the engineering bar within their unit — someone who identifies systemic problems before they escalate, makes sound architectural decisions, and multiplies the output of the engineers around them. The ideal candidate isn't just interested in what we're building right now, but wants to understand where we're going and partners with peer Principals and the Technical Director for Mobile to shape the technical strategy that gets us there — all in service of delivering the best customer experience. The ideal candidate will have: 10+ years of experience in developing mobile applications (native and hybrid), with at least 7 years focused on React Native. Bachelor's degree in Computer Science or a related field; or equivalent demonstrated experience. Deep expertise in React Native application architecture using TypeScript in strict mode, with a track record of defining patterns and conventions adopted across engineering teams. Mastery of dual state management strategies — client state (MobX) and server state (TanStack React Query) — including the judgment to enforce clear boundaries between them at scale. Comfortable working with AI-assisted development tools (e.g., Claude Code, Cursor, Codex) and interested in shaping how the team leverages them — not just as a user, but in defining conventions, guardrails, and workflows that scale. Proven experience designing real-time mobile systems using RESTful services, WebSockets, and GraphQL, with an emphasis on resilience, latency, and graceful degradation. Significant native iOS (Swift/Objective-C) and/or Android (Kotlin/Java) experience, particularly in authoring and maintaining native module bridges and managing cross-boundary data flow. Prior experience in the igaming, sportsbook, or online gaming industry, with a strong understanding of the regulatory, compliance, and geolocation constraints that shape product and architecture decisions. Experience architecting multi-variant mobile applications — managing divergent product configurations, jurisdiction-specific logic, and feature flag–driven rollouts (e.g., LaunchDarkly) within a single codebase. Ownership of cross-cutting technical initiatives such as design system creation, legacy codebase migration strategies, developer tooling, or CI/CD pipeline optimization for App Store and Play Store delivery. Comprehensive knowledge of the mobile development lifecycle — application architecture, OS-level APIs, debugging, performance profiling, security hardening, and deployment — with the ability to set org-wide standards in each area. Demonstrated ability to identify, scope, and drive multi-quarter architectural improvements — balancing long-term technical vision against near-term product delivery. A track record of mentoring senior and staff engineers, elevating team capabilities through code review culture, technical documentation, and architectural guidance. Strong cross-functional influence — able to partner with Product, Design, QA, and Backend Engineering leadership to shape roadmaps and make build-vs-buy-vs-migrate decisions. Contagious and positive work ethic that raises the bar for engineering quality across the organization, not just the immediate team. What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: Competitive pay and benefits Flexible vacation allowance Flexible work from home or office hours Startup culture backed by a secure, global brand Opportunity to build products enjoyed by millions as part of a passionate team Roster of Uniques We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer) Your application has been successfully submitted! _

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

At Air Apps, we believe in thinking bigger and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018 and now with offices in both Lisbon and San Francisco, we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management and change lives along the way. As a DevOps Engineer – Mobile, you will play a crucial role in streamlining the delivery, integration, and performance of our iOS and Android mobile apps. You'll help shape and maintain the infrastructure, CI/CD pipelines, and automation processes that enable our mobile engineering teams to ship faster and more reliably. Your work will directly impact millions of users worldwide by ensuring high availability, rapid deployment, and top-tier performance. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Design, implement, and maintain robust CI/CD pipelines tailored for mobile app development (iOS and Android). Automate build, test, and deployment workflows across multiple environments. Manage cloud infrastructure to support mobile backend services and tooling. Collaborate with mobile developers to ensure efficient release cycles and fast feedback loops. Optimize the performance, reliability, and scalability of mobile-specific infrastructure and build systems. Integrate monitoring, logging, and alerting for mobile services and CI/CD systems. Enforce mobile app security best practices, including certificate management, secrets handling, and signing processes. Support infrastructure as code (IaC) practices using tools like Terraform. Continuously evaluate and implement emerging DevOps tools and practices to improve mobile development workflows. Around 3+ years of experience in DevOps, with a strong emphasis on mobile app pipelines and automation. Proficiency with mobile CI/CD tools (e.g., GitHub Actions, Bitrise, fastlane, CircleCI, or GitLab CI). Experience in building and distributing iOS and Android applications in scalable environments. Familiarity with Apple Developer tools (Xcode, provisioning profiles, code signing) and Google Play Store pipelines. Hands-on experience with cloud platforms such as GCP, Azure, or AWS. Experience with Docker, Kubernetes, or similar containerization and orchestration systems. Strong scripting skills in Bash, Python, or similar languages. Understanding of mobile-specific security practices (e.g., certificate management, secure storage). Familiarity with monitoring and logging tools like Prometheus, Grafana, or Datadog. Experience working in Agile or cross-functional teams with a product-driven mindset. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. Visit our _ to learn more. We are looking for a Quality Engineer to help us build a faster, and more reliable testing and release processes for one of our latest product engineering teams. You will work closely with Software and Machine Learning Engineers to establish the quality foundations for a product characterised by dynamic, non-deterministic outputs. The team is a newly formed multidisciplinary team of 5 responsible for the conversational AI components across our WebApp. As the team’s founding Quality Engineer, you will play a central role in defining how we approach quality from the outset. You will introduce thoughtful, pragmatic practices that increase confidence in releases, reduce remediation and rollback work, and enable the team to move quickly without compromising user trust or product reliability. You will have meaningful ownership from day one: exploring testing approaches, identifying quality gaps, and helping shape the systems and processes that support sustainable delivery. This is an opportunity for someone who thrives in ambiguity, combines hands-on technical testing with experimentation, and wants to define quality engineering at the intersection of software development and LLM-powered products. Develop and evolve quality practices, test strategy, and release processes for the Chatbot product. Help establish and run an output-evaluation framework for assessing Chatbot quality, reliability, and regressions. Test dynamic and non-deterministic LLM-based systems, designing pragmatic approaches for validating behaviour beyond conventional deterministic test cases. Identify, test, and improve guardrails for AI-specific risks, including prompt-injection scenarios and unsafe or unexpected model behaviour. Partner with engineers through code reviews, technical discussions, and collaborative debugging to improve quality earlier in the development lifecycle. Investigate current testing gaps, research relevant methods and tools, and make evidence-based recommendations to the team. Design proof-of-concepts for new testing approaches or tooling, then help productionise the solutions that create the most value. Support the evolution of release testing, including clearer quality signals and release-readiness criteria. Contribute performance-testing thinking for LLM-powered workflows where relevant. Share knowledge, facilitate technical discussions, and build the Quality Chapter across the wider engineering organisation. Strong hands-on experience in software quality engineering, SDET, test automation, or a closely related engineering role. Experience testing chatbot, conversational AI, RAG, LLM-powered, or other systems with dynamic and non-deterministic behaviour; even early practical exposure is valuable. Proficiency in at least one programming language and enough technical depth to understand production code, contribute to code reviews, and collaborate effectively with software engineers. An experimental, investigative mindset: you can explore an uncertain problem space, assess alternatives, and turn findings into practical improvements. Clear written and verbal communication, including the ability to explain technical concepts, testing risks, design choices, and trade-offs. Strong collaboration skills and a pragmatic approach to working with Product, Engineering, and ML colleagues. Good judgement in prioritising quality work based on risk, user impact, and delivery goals. Experience with AI security and safety testing. Experience testing conversational AI, chatbot platforms, or agentic workflows. Experience as the first Quality Engineer in a team. Experience mentoring engineers or influencing testing practices across a cross-functional team. Keeps pace with industry developments and actively fosters knowledge sharing by bringing new tech trends and methodology back to the team Stage 1 | Recruiter Screen (30 mins) Stage 2 | HM Interview (45 mins) Stage 3 | Take-home + Live Follow-up (60 mins) with members from the Chatbot team + Quality Chapter. Stage 4 | Behavioral Interview (60 mins) with Co-founder/CTO + Lead Quality Engineer This is a fully remote position. You can be based anywhere in the UK, Americas, or Europe within a UTC-5 to UTC+1 timezone. Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. Company-issued laptop, remote setup stipend, and co-working budget Flexible schedules and location ☀️ Ample paid time off, in addition to local public holidays Enhanced parental leave ‍♀️ Health & retirement benefits Annual learning & development budget Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future of work Note: Some benefits may vary depending on location and role ⚠️ Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: • Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration., • Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries., • Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings., • Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production., • Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability., • Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area., • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams., • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: • Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision., • AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory., • Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset., • Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined., • Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table., • Experience with LLMs, prompt engineering, and building applications powered by GenAI., • Proven track record of delivering software that made it into production and is actively used by users., • Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure)., • Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: • Experience building or working with agent frameworks or multi‑agent workflows., • Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks), • Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

🖊 Role Senior Frontend Engineer 🔢 Type 3 month temporary position, with strong potential to become a permanent role 🌎 Location UK, fully remote (requires a good internet connection; and a private desk to work from). You must have the right to work in the UK; visa sponsorship is not available. 💰 Salary £60,000 - £90,000/year (depending on experience) 🌴 Holiday 25 days/year + UK public holidays ℹ️ About Genpax Genpax is an innovative, and exciting startup company that is aiming to revolutionise the way bacteria and their antimicrobial resistances are tracked. Our goal is to enable proactive infection control at early stages of outbreaks and in response to more dangerous strains. By combining traditional and cutting-edge computational methodologies, we want to radically increase the utility, scalability, and speed with which genome sequencing information can be accessed, and used, to deliver near real-time diagnostic and infection control solutions. Note: Prior genetics/bioinformatics experience is not required. We believe we have all the missing pieces to address this problem, which we are converting into a real-world solution though our platform, IDEM. The platform: • Uses proprietary algorithms to perform our scientific analysis., • Is capable of processing hundreds of samples per hour., • Has a browser-based user interface for customers to manage samples, and view results of analyses., • Is backed by automated testing, and automated deployment via CI/CD. The languages we currently use for application development are Python, and TypeScript. The platform is deployed on AWS. Terraform, and Ansible are used for Infrastructure as Code (IaC). Our technologies include: React with Next.js; GraphQL; Docker; Postgres; Git; CI/CD with GitHub; computational workflows with Nextflow. Note: Prior experience with all the tools and technologies that we use is not required. 🖥️ What you’ll be doing • Working in an agile software engineering team to develop a cutting-edge platform for infectious disease surveillance., • Contributing to all aspects of software engineering: from planning, and prototyping; to implementation, testing, and deployment., • Supporting the operation, and continuous improvement of a live system., • Collaborating with others on complex features in the context of a scientific domain., • Making pragmatic decisions, whilst promoting a culture of quality, and continuous improvement. ✅ This job is for you if you • Have experience using Typescript, React, and Next.js., • Are happy to quickly adapt to using new technologies., • Understand the importance of prioritisation; the value of Minimal Viable Products (MVPs); and the advantages of following an iterative approach., • Are comfortable with uncertainty – the problems you’ll be working on won't always have a well-defined answer from the beginning., • Are happy to work in cross-functional teams; and collaborate closely with other software engineers, designers, product managers, and domain specialists., • Are self-driven and will proactively act to unblock work by engaging with others. Note: Please do not submit AI generated responses to the applicaiton questions; we will reject your application if you do this. Genpax is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Data and AI Engineer - Remote Remote, with occasional travel to client sites Profectus Recruitment are proud to be partnered with a fast-growing and forward-thinking start-up that is harnessing the power of data and artificial intelligence to deliver transformational impact to business owners and investors alike. This is an exceptional opportunity to join a business that is already making waves across multiple industries, delivering cutting-edge AI-driven solutions tailored to real-world problems. Our client is on the lookout for a Data and AI Engineer who is not only technically excellent but also thrives in client-facing environments. This is a remote role with the flexibility to manage your own time, although you’ll occasionally travel to meet clients and deliver solutions face-to-face. You’ll work closely with the Director of Products to design and implement scalable, production-ready AI systems that directly shape strategic decision-making for clients. What we’re looking for: We are keen to hear from individuals who demonstrate a balance of technical strength, curiosity, and entrepreneurial spirit. This role would suit someone who wants to take ownership of their work, enjoys solving complex challenges, and can build strong relationships with clients. Key Attributes: • Excellent stakeholder management skills, with a proven ability to build trust and communicate clearly, • Confident presenting technical solutions to clients through demos and workshops, • Naturally curious and highly motivated to explore innovative problem-solving, • Demonstrates initiative and a proactive, ownership-driven mindset Technical Experience:, • Proven experience designing and maintaining secure, scalable applications using AWS, GCP, or Azure, • Skilled in Python and SQL, with a passion for turning data into insights, • Experience building and deploying CI/CD pipelines, • Solid background in data modelling and data transformation for analytics and AI, • Hands-on experience working with or applying Large Language Models (LLMs) to real-world use cases, • Collaborative, client-focused approach to delivering tailored technical solutions Qualifications & Experience:, • A degree (BSc or MSc) in Computer Science, Data Science, Engineering, or a related field, • Minimum of 2 years in a similar role with demonstrable project delivery experience Please note if you aren’t willing to travel semi-regularly within the UK to meet with clients and / or aren’t looking for this client facing aspect of the role then please do not apply.

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

About 1Password: We all have important information we need to manage, and protecting it should be easy. Over 150,000 businesses and millions of people log in to 1Password to unlock smart, simple access to everything they care about. Our vision is to create a safer, simpler digital future for everyone, and our culture values simplicity, honesty and a human-centric approach to solving problems. Come help us unlock peace of mind so everyone can stay safer online. As a Solutions Engineer, Enterprise, you will work closely as a trusted partner to our Enterprise teams within Go-to-Market to help improve sales productivity and deal flow by providing technical expertise and be responsible for helping them to achieve their sales targets. You will collaborate with Marketing, Product Management, and Support resources, and interact with key customer technical decision-makers to ensure proposed deals include technical solutions that accurately and specifically address our Enterprise customer’s needs and use cases. This is a remote opportunity within the UK. \n What we're looking for: • Communication (& Language): You have excellent written and spoken communication skills in both English and German, with the ability to engage and develop relationships, sharing information effectively across all professional levels., • 3+ years experience in customer-facing activities in a B2B environment., • 2+ years experience working directly with enterprise customers as a Solutions Engineer. ● Ability to disseminate and popularize technical information for a general audience., • Great presentation and communication skills., • Keen eye for detail and quality., • Excitement when it comes to investigating, testing and exploring solutions for customers., • Exhibits a high degree of independence, leading projects confidently with minimal to no oversight., • Demonstrates exceptional adaptability, expertly managing several high-priority projects at once without compromising on quality., • Thrives both independently and within a dynamic team setting, effortlessly navigating the rapid evolution of products and services., • It’s a bonus if you have personal experience with 1Password or another password manager—while not required, it’ll help you gain confidence quickly in this role., • Familiarity with the acronyms SCIM, AD, CLI, SSO, and of course SaaS., • Experience working with SaaS tools and in the security industry is an asset. What you can expect: • Be the main technical point of contact within 1Password’s Go-To-Market team., • Proactively scope the technical solution required to address Enterprise customer requirements, assess customers’ met and unmet needs, and recommend optimum solutions and support., • Understand our competitors thoroughly for objection handling and talk track development., • Provide technical coaching and professional development to 1Password’s sales team., • Collaborate with Product Management and Support teams on technical solutions proposed throughout the sales process and alert the sales teams to potential risks of deal closure., • Provide technical education to customers and staff when needed., • Prepare proposals and respond to RFIs, RFPs RFQs, and vendor/risk assessments., • Occasional travel may be required for events., • After 1st month = Gaining an understanding of overall how 1Password's Go-to-Market team works, the tools we use, the processes, 1Password as a product and our security model. You will dive deeper into the tools utilized by Solutions Engineers on a daily basis, how we work with other teams and more., • At 3 months = It is expected by 3 months that you will be up & running solo in customer calls, you will have experienced demo feedback training sessions, shadowed calls and had a reverse shadower on ones of your own. The call types will include technical discoveries, technical consultations, 1Password EPM + XAM demo calls and developer tools demos. You will be completing RFPs/RFIs and starting to get active in the Slack channel that Solutions Engineering monitors., • At 6 months = You will be well-versed in customer calls and will be active within the Slack channel that Solutions Engineering monitors, you will be managing at least one tier 2 product launch related project and will be active in creating, updating and verifying cards in our internal knowledge base (Guru) plus creating short recorded demo videos for customers., • Please note that this job description is subject to modifications and is not an exhaustive list of responsibilities. \n We believe in the power of remote work, but we also recognize that some in-person connection with team members and customers is important to help us achieve our mission. While we are a remote-first company, occasional travel for in-person engagement will be a part of this role. This may include but is not limited to bi-annual department-wide offsites, quarterly department meetings and periodic customer events. These events will typically be held in varying locations across Canada and the USA. In leadership roles, you can expect to travel once per month on average. What we offer: We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 👟 Wellness spending account 🏝 Generous PTO policy 💖 Company-wide wellness days off scheduled throughout the year 🧠 Wellness Coach membership 🩺 Comprehensive health coverage Growth and future 📈 Employee stock option program for all full-time employees 💸 Retirement matching program 💡 Training budget, 1Password University access, and learning sessions 🔑 Free 1Password account (and friends and family discount!) Flexibility and community 🤝 Paid volunteer days 🌎 Employee-led DEIB programs and ERGs and ECGs 🏠 Fully remote environment 🏆 Peer-to-peer recognition through Bonusly You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses an automated employment decision tool as a part of the recruitment process. See the latest bias audit . A reasonable accommodation, reasonable alternative selection process, appeal or to exercise your right to opt-out of AADM may be requested by emailing with subject "AI accommodation request". For additional information see our _.

About Node4 We are a united force driven by a single ambition; to deliver faster transformation, lower cost, and truly differentiated outcomes - we do this by bringing together our AI Augmented MSP platform, hybrid sovereign cloud solutions, deep Microsoft expertise and the Node4 People We are: Nimble – We focus on what matters most, adapt fast and embrace change Original – We think differently, stay curious and innovate Driven – We are bold, bring energy and own the outcome Engaged – We operate as one, building strong relationships 4 More – We always go further for our people, customers and partners About the role Node4 seeks a skilled Data Platform Consultant with technical expertise, business acumen, and excellent communication skills to deliver innovative data solutions. You’ll understand client needs, design and implement data architectures, and ensure high-quality data services that add business value. Node4 is a growing technology company valuing innovation, client satisfaction, and professional growth. You’ll work on exciting projects, develop skills, and significantly impact client success. We work with diverse businesses, from fast-growing startups to large multinationals across various sectors. In the public sector, we deliver data implementation programmes for Central Government Departments, such as acting as the strategic data partner for the Foreign, Commonwealth and Development Office, and the Ministry of Housing, Communities and Local Government. This experience provides exceptional insight into data-driven decisions in different contexts, supporting strategic decision-making in various settings. Our clients are mainly UK-based. The role is primarily remote, with occasional travel to client sites and our UK offices for team gatherings. We lead our customers on their journey from traditional reporting to discovery and intervention, using business data effectively and surfacing critical information in the right way at the right time, to drive better business outcomes. The successful candidate will be excited by a role in which new challenges are constantly presented for us to solve. The data problems we solve are diverse and evolving, requiring skills to identify, access, explore and query various database platforms, including on-premises SQL databases, IaaS and PaaS SQL, cloud databases, and application APIs. The role demands strong, extensive data engineering skills to extract, transform, and load data from various sources into suitable repositories and models, collaborating with colleagues to solve each new problem. Experience in Microsoft data analytics applications, particularly Microsoft Fabric and Azure Data Services, is needed for data ingestion, transformation, storage, and presentation of impactful data repositories and models. The role mainly focuses on data platform and engineering workloads before visualisation/reporting, blending with our Analytics team to deliver holistic Data and Analytics solutions. Along with these technical skills, excellent verbal and written communication skills are essential. The role involves daily direct communication with clients while designing and implementing data solutions, requiring the ability to build rapport, understand and advise our clients. Key Tasks and Responsibilities Your primary responsibility will be to participate in the scoping, design, documentation and implementation of Data Platform solutions to our clients in a client facing role, and your experience will reflect the necessary consultancy skillsets. Activities you would be expected to conduct include: Conduct workshops with our clients, working closely with your cross-functional colleagues, to understand and capture their solution requirements Producing High-Level Design (HLD) and Low-Level Design (LLD) documentation, to capture client requirements and design the intended solution Implement and configure the designed solutions in accordance with our design and implementation standards, with the support of senior and principal consultants in the practice Provide technical authority in the course of project delivery, working constructively with our clients and project managers Provide pre-sales support to our sales and marketing teams when required, including contributing to bid and tender responses Provide technical assurance/governance to our clients Work as part of a broader technical team delivering large multi technology solutions to our clients, which will include Data and Analytics solutions What will you bring? 5+ years experience with the implementation of data and analytics architectures and data modelling Experience of (and an appreciation of the importance of) writing high quality, detailed technical documentation Demonstrable experience of working with Microsoft Data & AI products, such as Azure Data Services (Synapse, Data Factory, Data Lake, SQL, Analysis Services) Microsoft Fabric, and Power BI Experience of IaaS/on-premises equivalents of the above workloads is valid, such as SSIS, SSAS, SSRS Databricks (desirable) Demonstrable experience of working with query languages within these workloads, such as Transact-SQL to a highly proficient level Data transformation expressions in Data Factory/Synapse (desirable) Power Query M and DAX (desirable) Python; PySpark (desirable) Proven experience in a client facing data consultancy role designing, implementing, and supporting data solutions Ability to lead business and technical discussions Self-driven ambition to deliver excellence in collaboration with your team, with a drive and desire to learn and develop Strong problem-solving nature, with the ability to examine a problem and involve the appropriate people at the appropriate time Must hold or be able to successfully achieve and maintain Non-Police Personnel Vetting (NPPV3) status, and national Security Check (SC) clearance Desirable Skills Hold or be capable of obtaining role-relevant Microsoft certifications such as Fabric Analytics Engineer Associate Azure Data Engineer Associate Power BI Data Analyst Associate Azure Data Scientist Associate Experience with using Python for appropriate data engineering workloads Experience with configuring and implementing Microsoft Purview as part of a data platform solution Experience with delivering data solutions through Databricks, and configuring and implementing the Unity Catalogue Knowledge/experience of Dynamics Business Central/NAV, Finance and SCM, and other Microsoft Business Applications database structures What can we offer you? Hybrid Working Private Medical Insurance or Company Paid Health Cash Plan Employee Assistance Program 25 days holidays plus your birthday off Option to purchase additional holiday (up to 5 days) Company Pension Scheme Life Assurance x 4 A diverse workforce Employee investment with Node4 training Academy Family savings and shopping discounts through the Node4 benefits portal. Discounted Gym Membership Modern facilities with open and welcoming breakout areas Company Social events Never ending supply of hot and cold drinks, biscuits, sweets, and fruit Why join Node4? Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide and beyond. From three people to a workforce of over 900. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company. TAKE A LOOK AT _

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! Key Responsibilities: In collaboration with the other safety expert(s): • Lead the functional safety activities for Wayve’s ADS, and its integration into present and future vehicle platforms, or the integration of third party safety-critical systems. This involves:, • Working with various internal and external teams to gain a deep understanding of the system under development to build the Item Definition work product for each platform., • Conduct risk assessments (HARAs, FMEAs, FTAs) to identify the risks and build a safety concept to mitigate the risks to an acceptable level., • Work with internal design teams to build a system architecture that meets the safety concept including decisions on decompositions, deriving relevant SW and external requirements., • Support internal SW teams in implementing the safety requirements on target HW., • Define test specifications at various levels of integration to verify and finally validate the safety concept., • Define the Safety case by building a structured claims, arguments and evidence based paradigm., • Contribute to developing the safety work products for production projects with similar activities as defined above., • Work with the process and compliance teams to update the safety processes for certification activities. In order to set you up for success as a Functional Safety Engineer at Wayve, we’re looking for the following skills and experience. Essential: • Very good understanding of the functional safety development process as per ISO 26262 with a minimum 5 years of experience in applying the standard on different automotive systems; in particular parts 3, 4, 5, 6, 8 and 9., • Experience in conducting vehicle level testing activities at proving grounds to verify and validate the safety concept. Desirable: • Expertise in ISO 26262-6; the candidate must have practical experience in developing or leading the development of ISO 26262 compliant production software and in the qualification of software tools., • Experience in managing suppliers of safety related hardware or software elements (DIA design, supplier audit and assessment, project management))., • Knowledge and experience in developing the safety case of an AD systems, in particular:, • Experience in developing the safety concept for a computer vision based system, • Sufficient knowledge of neural networks (architectures, algorithms, training and testing pipeline) to understand the challenges associated with the safety assurance of such systems and discuss options and rationales with our scientists, • Experience in SOTIF, especially in identifying SOTIF triggering conditions through analysis and defining testing and validation strategies to assess SOTIF performance., • Operational safety experience, such as identifying the operational risks and designing training and operational procedures to ensure the safety of testing on public roads, is a plus. About Yourself: • You are truly passionate about Safety and making the world a safer place your mission; this is reflected in the way you choose terms appropriate to your audience, present the essence of system safety and formulate the key takeaway messages., • You are pragmatic, you understand the need to balance risk versus benefits, even more so in a startup environment., • You are comfortable in debating with other stakeholders safety-related trade-offs, at any level of the development process and at any level of the organisation., • You are self-starter, autonomous in thoughts but collective in action., • You are able to think and work at various abstraction levels; thinking “blue sky” and paving the way for long term safety goals, or diving deep into technical details to provide clear guidance and solutions on the safety activities for the development of a subsystem (e.g. controller) or launching an application (robotaxi), • You are confident in challenging others’ ideas and views, but equally, are open to constructive criticism and able to reconsider your opinions or beliefs. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-KM1 We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a highly experienced, fully remote Principal Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG to drive the delivery and deployment of backend services for industry-leading game projects. You will act as a key engineering contact for external co-dev clients, collaborating with the Technical Director and Lead to architect solutions that balance technical idealism with production pragmatism. You will define the technical architecture for major game titles, ensure implementation quality, and mentor the engineering team. • Experience in game development and having shipped multiple live games (or similar products) with a high concurrent user count, • Proven experience architecting distributed applications with a high concurrent user base (hundreds of thousands), ideally proven with a released title or robust load tests, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Solid database experience, with the ability to work effectively with both SQL and NoSQL databases, • Proven experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Professional level) would be advantageous, • Proven experience building backend infrastructure using infrastructure as code tools, e.g. Terraform, • Proven experience using Kubernetes and Docker to build products at scale, • Ability to autonomously architect and design online services based on a specification, • Ability to navigate changes calmly and manage multiple pieces of potentially confidential information, • Excellent time management and ability to work autonomously, • Clear and effective communicator with the ability to discuss technical strategy with non-technical stakeholders and adapt to client needs, • Experience building CI/CD pipelines from scratch or improving existing client solutions, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Deep expertise in at least one relevant area of backend technology, e.g. DevOps, Microservices, Cloud Architecture, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: architect systems, write code, deployments, etc., • Act as the engineering contact point between MPG and the client, working alongside the Project Manager and Engineering Leadership, • Translate client requirements into tasks for yourself and team members, • Make the right trade-offs to design systems based on performance, time, and budget, • Mentor and delegate pieces of work to other team members to help develop them as engineers, • Create estimated cost spreadsheets for online services based on projected concurrent users, • Cultivate engineering best practices across teams: modular design, code quality, testing, • Work with the Lead and Production to communicate risks, benefits, and future roadmaps, • Active mentorship of the engineering team towards professional accreditation (e.g., AWS Certification) and technical leadership. Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.

Product Manager (Biometrics) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Product (Biometrics) Location: (WeWork Waterloo) London, UK - Hybrid (1-2 times per week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options (EMI) + iProov Benefits IProov is looking for a Product Manager to join our growing Product & Innovation team to work on our core Biometric product. In a team of Product Managers working on our Biometric Product, you will work closely with our Engineer and Machine Learning functions owning the Product Experience. You will play an integral part in streamlining our efforts understanding customer pain points and turning them into usable, lovable solutions. This is a role that involves a large amount of autonomy and ambiguity. In a typical week, you can expect to work closely with our customers to draw requirements from both a technical and security perspective, whiteboard R&D options with various teams of Software and Machine Learning Engineers, productionize and commercialize new features where you see fit, and champion the next generation of usable and inclusive biometric products. • Experience in Product Management in a B2B environment, • Experience in User-centric Design, Mobile Applications, and Machine Learning disciplines are assets, • Experience in identifying and implementing data-backed changes, • Experience in conducting customer/user interviews, • Ability to effectively communicate with various stakeholders, • Exposure to operating within a scale up environment, • A drive to make an impact, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Senior Security Engineer (AI & DevOps) iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Cybersecurity Location: WeWork Waterloo - Hybrid ( Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and at pace. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack. This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context. • Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle., • Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset, • Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation., • Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated., • Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows., • Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required., • Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure., • Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls., • Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated., • A foundational background in software engineering or DevOps before moving into a dedicated security role: you understand how code is written, tested, and deployed, and that experience is central to how you approach security problems., • Proven, hands-on experience securing modern cloud infrastructure and containerised environments, with a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned., • Proficiency in deploying and administering enterprise security platforms, ideally with direct experience managing tools spanning CNAPP, EDR, SIEM, and zero-trust networking., • A heavy and active user of AI in both professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors., • Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function., • Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments., • The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language that resonates with both engineering peers and business leadership, including the confidence to present technical security evidence clearly in formal external audit settings., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

TEECOM | We Make Technology Work in Buildings Do you want to launch or advance a career at the intersection of technology and the built environment? Do you want to work with exceptional engineers to creatively solve complex problems? Do you want to work with clients to take their building experiences to the next level of connectivity, safety, and wow-factor? Do you want to join a company that defines the state of the art in its practice, with visionary leadership and in-house research and development? TEECOM is a $45+ million/year consulting engineering firm with an average annual growth rate of 20% over the past 25 years. We make technology work in buildings through strategic consulting, design and engineering, project management, and enterprise support. We work hard in a fast-paced professional environment that will challenge you to learn and grow, and we play hard through team lunches and events that give back to the community. Join us and make TEECOM even better. About the PositionIn the mid-level Designer engineering role, the Designer II will be proficient in their production skills in Revit and will have a basic understanding of one or more of the disciplines. This individual supports or manages the process of virtually constructing a building and documenting the design contract from the construction documents set through record drawing submittals. This is an opportunity to choose which discipline they would like to become an expert in. This individual is expected to receive delegated production and engineering and work effectively as part of a team. They will continue to be mentored in their focus discipline and given engineering tasks with direct oversight from their mentor, Sr. level engineer, or direct supervisor.The individual will receive thorough instruction through mentorship, hands-on Revit training, and opportunities to shadow senior level technical staff to learn from their experience. • Represent TEECOM Values and Guiding Principles: Individual demonstrates that they CARE about clients and fellow team members, adds VALUE, and earns and builds TRUST., • Lead by Example: Individual sets the example for the team by aligning their actions with their words., • Indirect Mentorship: Individual provides indirect mentorship to anyone who asks questions or needs guidance., • Augment Company-Wide Communication: Individual demonstrates a commitment to elevating company-wide communication by enhancing internal documentation, fostering team collaboration, and supporting transparency across the firm., • Knowledge of the AEC industry and the design and construction process are a plus., • Organization: Keep track of multiple projects and client and team member requests, often on a last-minute basis with excellent follow-up to assure promises are kept., • Documentation: Thoroughly documents, updates, and maintains process documentation, notes, and decisions across appropriate platforms to ensure workflows, processes, and discussions are accessible and up-to-date., • Communication: Conduct business communications in an effective, professional, and concise manner, both verbally and in written formats, and in one-on-one, small-group, and large-group settings. You must read, write, speak, compute, and problem-solve various tasks. Break down complex concepts into smaller and more digestible components that allow for a greater level of understanding by others., • Teamwork: Work as a functional member of a team and successfully work with other teams and business functions to achieve positive results. Facilitate effective project team and cross-functional interactions (Technical, Operations, BD, Marketing, etc.)., • Problem Solving: Approach problems using a methodical and logical method to create a workable solution. Use numbers and mathematical approaches for various tasks. Conduct research using the Internet., • Software: Use software applications effectively and efficiently (G Suite, MS Office, Bluebeam, Slack, Revit, AutoCAD MEP, Navisworks, Bluebeam Studio, etc.) to communicate and deliver work products., • Process Oriented: Follow processes, continually seek to make processes more efficient, enforce processes, and conduct root cause analyses that lead to the update or creation of processes., • Learn the building design process and the pursuit process, • Attend client meetings with senior technical staff members and prepare meeting notes documenting relevant decisions and discussions, • Prepare Revit models and/or AutoCAD drawings, • Assist with specification preparation and design calculations, • Research technical product information, • Assist other technical staff members with job site inspections to determine existing conditions and extent of progress made by contractors, • Perform delegated tasks from senior staff, • Attend and contribute to internal team, discipline, and project meetings, • Regularly document, update, and maintain team-related processes, workflows, and best practices. Actively initiate and participate in discussions about project challenges, process improvements, and other topics that enhance internal documentation and contribute to the team’s success and collaboration, • Perform other work-related duties as assigned, • Ensure timesheets/expense reports are accurate and up-to-date daily, • Achieve billed revenue target each quarter, • Quarterly reviews are completed on schedule, • Utilization equals 85%, • Average hours worked is between 40 and 50 hours per week, • Achieve goals from the Performance Plan each quarter, • Complete 100% of Asana tasks on time, • Actively engage with GitHub repositories, Callback One, Design Decision Logs, and other pertinent platforms by consistently contributing valuable documentation and participating in discussions to enhance internal documentation and team collaboration., • Education/Degree/Major: BS in Engineering (electrical preferred) or equivalent experience, • Construction industry or equivalent experience is a plus, • Autodesk (AutoCAD, Revit) is a plus, • Bluebeam Studio is a plus, • Microsoft Suite, • G Suite, • EIT is a plus, • CDT is a plus£40,000 - £70,000 a yearThis compensation will vary depending on your role-related skills, experience, knowledge, and subject matter expertise. TEECOM is committed to ensuring that we are the right fit for each applicant and that each applicant is the right fit for our team. As we get to know each other throughout the interview, the compensation may vary within the stated range. Your level will be evaluated and determined during the interview process. Please submit your resume and a cover letter.NOTICE TO THIRD PARTY AGENCIES: Please note that TEECOM does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Fee Agreement, TEECOM will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, TEECOM explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of TEECOM.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. This is a role for someone who wants to define what gets built, not just how it looks. You'll own product vision in 0-to-1 spaces, working at the frontier of what Poolside should build next, translating ambiguous problems into clear product direction, and prototyping fast to validate ideas before they become roadmap. You'll work closely with engineering and leadership, partnering tightly with our product design team to shape experiences that sit at the intersection of frontier AI and developer tooling. The problems here are genuinely hard and the surface area is wide. One day you're digging deep to understand how developers experience a new agentic workflow; the next you're building a proof-of-concept that changes the direction of a product. Your taste and judgment will be visible in what ships. YOUR MISSION To forge the product direction for Poolside's developer experience, defining what we build at the frontier of AI and software development. Own product vision in 0-to-1 spaces, defining what Poolside should build and translating ambiguous problems into clear, buildable direction. Lead design, experimentation, and proof-of-concepts that explore what's next for developer tools, feeding insight back into the product roadmap. Partner with Product Engineering to move ideas from concept to shipped product, working at both the strategic and the granular level. Prototype rapidly and validate early; you're as comfortable in code as you are in a design tool. Collaborate with designers and the wider design team to ensure product thinking is consistent and well-resourced across Poolside's surfaces. Shape how Poolside shows up externally as a product, including how developers first encounter our work. Strong product intuition with a history of defining what to build, not just how to build it. You've forged direction, not just executed on it. A genuine history of building with code: scripts, tools, personal projects shipped from scratch. You can speak concretely to what you built and why. Genuine familiarity with developer workflows. Version control, local environments, the command line, deployment pipelines. Not as a curiosity, but as your natural habitat. Deep experience designing for developer tools specifically, not general consumer or enterprise products. Strong visual craft. You produce polished, high-quality UI and can hold a high bar across the full product experience. Comfortable with rapid prototyping, research, and proof-of-concepts. You move fast and validate early. Highly autonomous: you set your own direction, bring others along on your thinking, and make good decisions in ambiguity. Intro call with one of our Designers Design interview with a Design Engineer (Product). Come with 1–2 projects you forged, not just executed Technical interview with a Product Engineer. Expect questions on how you build and think about developer workflows Team fit call with the People team Final interview Fully remote work & flexible hours 37 days/year of vacation & holidays Health insurance allowance for you & dependents 16 weeks of flexible, full-pay parental leave Well-being, always-be-learning & home office allowances Company-provided equipment Frequent team get togethers Diverse & inclusive people-first culture