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Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

ServiceNow QA - £450 - £550 per day – London – Fully Remote – 5 Months Overview: A market leading consultancy operating globally are searching for an experienced QA Engineer focussing on the ServiceNow stack. Role & Responsibilities: • Develop and execute test plans, test cases, and test scripts for ServiceNow modules., • Conduct functional testing to validate that application features meet requirements and business expectations., • Perform regression testing and create test automation using ServiceNow Automated Test Framework (ATF)., • Regularly review and maintenance of ATF framework to manage technical debt and enhance performance., • Perform Integration and end to end testing., • Identify and log defects, collaborate with developers for resolution, and validate fixes., • Ensure smooth regression testing for updates, patches, and new features., • Provide clear and concise test reports to stakeholders., • Validation and of UAT test scripts and assessment of results. Technical Requirements:, • Proven experience testing multiple ServiceNow applications/modules (e.g., CSM, ITSM, ITOM)., • Proficiency in ServiceNow Automated Test Framework (ATF)., • Strong understanding of functional and regression testing methodologies. Rate & Duration:, • £450 - £550 per day, • 5 Months (Likely Extensions), • Fully Remote (UK Based) ServiceNow QA - £450 - £550 per day – London – Fully Remote – 5 Months

Senior DevOps Engineer - AWS (SC Cleared) Location: Remote Work Pattern: Full time permanent or contract Security Clearance: Must hold active SC Clearance The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. About the Role: We are looking for an experienced AWS DevOps Engineer to join our team. The ideal candidate will be responsible for the automation, deployment, scaling, and management of cloud-based applications and infrastructure on AWS. You will work closely with development, QA, and IT teams to ensure smooth and reliable operation of software and systems. Key focus areas include AWS cloud services, Kubernetes orchestration, Helm for managing Kubernetes applications, Docker, GitLab CI/CD, and API Gateways. Roles and Responsibilities: • Design, implement, and manage highly available, scalable, and secure infrastructure on AWS. Utilise services such as EC2, S3, RDS, Lambda, and CloudFormation to automate deployment and scaling of cloud-based applications., • Manage Kubernetes clusters across multiple environments. Automate the deployment, scaling, and management of containerised applications using Kubernetes, ensuring optimal performance and availability., • Use Helm to package and deploy Kubernetes applications. Create and manage Helm charts for deploying microservices, ensuring version control, rollback capabilities, and configuration management., • Build, deploy, and manage Docker containers for application development, testing, and deployment. Ensure seamless integration of Docker containers within Kubernetes environments., • Set up, configure, and manage AWS API Gateway to expose and manage APIs. Work with the development teams to ensure secure and optimised communication between microservices and external systems., • Develop and maintain CI/CD pipelines using GitLab to ensure continuous integration, delivery, and deployment of applications. Collaborate with the development team to optimise pipeline efficiency and ensure code quality., • Implement monitoring solutions using AWS CloudWatch, Prometheus, Grafana, or similar tools to ensure visibility into application performance, health, and security. Troubleshoot production issues and provide resolution., • Ensure the security of cloud infrastructure by implementing best practices like IAM roles and policies, encryption, and regular security assessments. Maintain compliance with relevant regulations and standards., • Work closely with software developers, QA engineers, and IT teams to define infrastructure needs and support software releases. Maintain clear documentation for infrastructure, processes, and procedures. Required Skills & Qualifications: AWS Expertise: • Strong hands-on experience with AWS cloud services (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, etc.). AWS certifications are a plus. Kubernetes Experience: • Proficient in managing Kubernetes clusters and deploying containerised applications using Docker and Kubernetes. Experience with multi-cluster environments and Kubernetes troubleshooting. Helm Proficiency: • Strong knowledge of Helm for packaging and deploying Kubernetes applications. Ability to manage complex Helm charts for microservices architecture. Docker Experience: • Hands-on experience with Docker for building, managing, and deploying containers. Knowledge of Docker Compose and container orchestration within Kubernetes environments. GitLab CI/CD: • Experience with building and managing CI/CD pipelines using GitLab. Strong understanding of continuous integration and delivery processes, including automated testing, code linting, and security checks. API Gateways: • Hands-on experience configuring and managing API Gateways, particularly AWS API Gateway. Familiarity with API security, throttling, and monitoring. Automation & Scripting: • Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience automating infrastructure tasks using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Monitoring & Logging Tools: • Experience with monitoring and logging tools such as AWS CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Benefits: • Join a rapidly expanding start-up where personal growth is a part of our DNA., • Benefit from a flexible work environment focused on deliverable outcomes., • Receive private medical insurance through Aviva., • Enjoy the benefits of a company pension plan through Nest., • 25 days of annual leave plus UK bank holidays., • Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources., • Participate in a generous employee referral program., • A highly collaborative and collegial environment with opportunities for career advancement., • Be encouraged to take bold steps and embrace a mindset of experimentation., • Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: • Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued., • Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all., • Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. What Happens Next? Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You’ll Do • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++., • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability., • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities., • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform., • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases., • Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions. An ideal candidate should have Required: • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM)., • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code., • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability., • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software., • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant)., • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions., • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus., • A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus: • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks., • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load)., • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions., • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications., • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications., • Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management. What we offer • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience., • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker., • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect)., • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision., • A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You’ll Do • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++., • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability., • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities., • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform., • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases., • Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions. An ideal candidate should have Required: • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM)., • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code., • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability., • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software., • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant)., • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions., • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus., • A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus: • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks., • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load)., • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions., • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications., • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications., • Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management. What we offer • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience., • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker., • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect)., • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision., • A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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! The Senior Manager, Engineering, Docker Agents leads the team responsible for building Docker’s next-generation AI agent capabilities. This team designs and delivers intelligent, containerized agents that enable automation, adaptive workflows, and real-world AI usage for developers. This role combines people leadership, technical strategy, and cross-functional collaboration. The manager ensures the team delivers reliable, high-impact systems while maintaining a strong engineering culture grounded in trust, learning, and execution. Team Leadership & Development Lead, mentor, and grow a team of engineers working on Docker Agents. Define hiring plans, onboarding, career paths, and performance expectations. Foster a culture of psychological safety, accountability, and continuous improvement. Technical Strategy & Delivery Partner with Product and Engineering leadership to define the vision, roadmap, and technical direction for agent systems. Guide architectural decisions for scalable, secure, and maintainable agent platforms. Balance long-term strategy with short-term execution to ensure consistent delivery. Cross-Functional Collaboration Work closely with Product Management, Platform, DevOps, and QA teams to align priorities. Advocate for agent capabilities across the Docker ecosystem. Ensure smooth integration between agent systems and other Docker products. Establish and track engineering metrics related to quality, velocity, and reliability. Remove blockers and improve developer productivity through better tooling and processes. Drive improvements in CI/CD, testing, observability, and system resilience. Model strong leadership behaviors rooted in empathy, clarity, and ownership. Promote inclusion, diversity, and fairness in hiring and team development. Handle feedback, performance discussions, and prioritization decisions with transparency and respect. 7+ years of professional software engineering experience. 3+ years of experience managing engineering teams. Proven ability to lead remote, distributed teams. Strong experience with distributed systems, APIs, or platform engineering. Demonstrated ability to navigate ambiguity and guide teams through evolving requirements. Excellent written and verbal communication skills. Experience working with AI systems, LLMs, or agent-based architectures. Background in developer tools, platforms, or infrastructure products. Product-oriented mindset with exposure to user-facing engineering decisions. Integrate into Docker’s AI & Agents Engineering organization and establish relationships with key stakeholders across Product, Platform, Engineering leadership, and sister AI teams (Ask Gordon, broader AI platform) Deep dive into the Docker Agents ecosystem including cagent project architecture, current roadmap, open-source community engagement, and technical debt assessment Conduct comprehensive 1:1s with each team member to understand their technical backgrounds, career aspirations, current project ownership, and individual growth opportunities Assess team dynamics, delivery processes, engineering practices, and identify immediate opportunities to remove blockers, improve productivity, and enhance code quality Hire and onboard critical team members with expertise in containerized systems, AI/LLM integration, distributed systems, and open-source community management Establish clear team operating principles including engineering standards for agent development, code review processes, testing frameworks, and production deployment practices Drive alignment on technical vision and roadmap for Docker’s containerized agent platform in partnership with Product Management, ensuring clear prioritization of cagent evolution, enterprise features, and developer experience improvements Ship significant improvements to cagent or containerized agent platform capabilities with measurable impact on developer productivity or agent deployment reliability Build and lead a high-performing engineering team of 8-12 engineers that consistently delivers reliable, scalable containerized agent infrastructure impacting millions of Docker users worldwide Establish the Docker Agents team as a center of excellence for containerized AI systems, influencing architecture decisions across Docker’s AI initiatives and the broader container ecosystem Develop team members into technical leaders through mentorship, conference speaking opportunities, open-source contributions, and clear career advancement paths within Docker’s engineering organization Establish repeatable processes for rapid prototyping, evaluation, and productization of new agent capabilities that maintain Docker’s reputation for reliability and developer experience excellence 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

We're looking for a skilled Platform Engineer with experience in IAM (Identity & Access Management) and strong experience in Agile delivery to support product development and technical enablement across multi-disciplinary teams. Key Responsibilities • Collaborate with teams to map user stories to platforms and build secure, scalable services, • Develop hardened base containers and support platform build activities, • Identify delivery risks and promote best practices across engineering teams, • Define QA, integration and deployment pipelines for secure, automated delivery, • Drive adoption of emerging DevOps tools and improve support processes, • Ensure smooth transitions of new products into service aligned to the product roadmap Essential Skills & Experience • Passion for IAM and experience developing secure systems, • Experience delivering against a product roadmap in Agile environments, • Strong background in system design, integration, software development & testing, • Familiarity with the SFIA framework - including levels:, • SWDN (Level 5), PROG (Level 4), TEST (Level 3), SINT (Level 5), DATM (Level 4), ASUP (Level 4) Desirable Skills • Previous hands-on experience with IAM tools or platforms, • Agile certification (e.g. Scrum, SAFe, or GDS-aligned), • Strong written and verbal communication, including stakeholder reporting Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Fluent Software Group is part of Valsoft Corporation's family of vertical market software businesses, focused on building specialized, reliable software solutions for targeted industries. We balance product innovation with operational dependability. We operate a portfolio of vertical market software businesses across Europe and North America. We are building an Enterprise Voice AI Agent to power service delivery for one of our Netherlands-based portfolio companies and their clients at scale. We are looking for a Dutch-speaking AI Developer based in Canada to own the ongoing development and scaling of the Enterprise Voice AI Agent — built to serve one of our Netherlands-based portfolio companies and their clients. In this role, you will build and evolve a production voice AI system that processes real customer interactions at enterprise volume. You will work directly with stakeholders at our portfolio company — in Dutch — to gather requirements, refine agent behaviour, and ensure the platform meets the operational needs of their business and their clients. Dutch language proficiency is a hard requirement. You will be the primary technical point of contact for our Dutch-speaking portfolio company, conducting discussions, writing documentation, and communicating updates in Dutch as part of your daily work. Voice Agent Development & Ownership • Own end-to-end development of the Enterprise Voice AI Agent: architecture, features, integrations, and ongoing maintenance, • Build and tune AI voice agent pipelines — including speech recognition, natural language understanding, dialogue management, and text-to-speech, • Develop and maintain the frontend (React/Next.js) and backend (Node.js/Python) components of the platform, • Integrate the voice agent with the portfolio company's existing systems (CRMs, telephony platforms, APIs) and their clients' infrastructure, • Maintain a prioritized backlog and drive features and improvements to production independently Client Collaboration (in Dutch) • Serve as the main technical liaison with the portfolio company — conducting requirements sessions, reviews, and status updates in Dutch, • Translate the portfolio company's business needs into technical specifications and working software, • Write client-facing documentation, release notes, and user guides in Dutch, • Manage expectations proactively and communicate timelines, risks, and decisions clearly Agentic AI & Continuous Improvement • Design and integrate AI agents to automate testing, debugging, performance monitoring, and feature prototyping, • Supervise agentic AI outputs to ensure they align with product goals, code standards, and security requirements, • Continuously improve platform reliability, call handling quality, and voice agent performance, • Apply AI tools to documentation, observability, and operational workflows Success Looks Like • The Enterprise Voice AI Agent handles call volume reliably for our portfolio company, with high containment rates and strong client satisfaction, • Portfolio company stakeholders communicate smoothly with the development team, in Dutch, with minimal friction or delays, • New features and client requirements move from brief to production rapidly and predictably, • The platform scales cleanly to support additional clients across the portfolio, • Agentic AI workflows are a standard part of the development and QA process Required • Professional Dutch language proficiency — written and spoken (this is a non-negotiable requirement), • 1–3 years of professional software development experience, or equivalent strong project-based work, • Strong proficiency in TypeScript and modern JavaScript, • Experience building production applications with React and Next.js (routing, SSR/SSG, API routes, data fetching), • Backend experience with Node.js and/or Python (REST APIs, authentication, third-party integrations), • Working knowledge of databases (PostgreSQL, MySQL, or MongoDB), including schema design and querying, • Familiarity with testing practices and frameworks (Jest, Playwright, or Cypress), • Comfortable with Git, pull requests, code reviews, and collaborative development workflows, • Solid understanding of web fundamentals: HTTP, authentication, caching, security, and performance, • Interest in and basic experience with AI-assisted or agentic development workflows Preferred • Experience working with voice AI platforms, telephony APIs, or conversational AI systems (e.g., Twilio, Vocode, Deepgram, ElevenLabs, Rasa), • Experience with LLM integration and prompt engineering in production systems, • Experience designing, building, or supervising agentic AI tools in a software development context, • Experience deploying and operating apps on cloud platforms (Vercel, AWS, GCP, Azure, or Docker), • Experience with CI/CD pipelines, logging, monitoring, and automated testing, • Familiarity with the Dutch business and enterprise software landscape We are a small, product-focused team that ships frequently and iterates fast. Our environment is lightweight, collaborative, and supportive, with direct communication and minimal process. You will have real ownership of outcomes and a direct line to stakeholders. This role is ideal for a developer who is energized by building something new, working closely with an enterprise client, and exploring the frontier of voice AI — while maintaining the quality and reliability that production systems demand.

Location: Remote (UK Based, occasionally in Corsham office).

QA Engineer - UI Testing & Infrastructure as Code (IaC).

Job Title: Devops engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, implement, and manage CI/CD pipelines for automated builds, testing, and deployments. Maintain and optimize infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation. Manage cloud infrastructure (AWS, Azure, or GCP) for high availability and scalability. Implement and monitor container orchestration platforms (Kubernetes, Docker, EKS, AKS, GKE). Ensure system reliability through logging, monitoring, and alerting solutions (Prometheus, Grafana, ELK/EFK, CloudWatch). Drive automation initiatives to reduce manual effort and improve system efficiency. Collaborate with development, QA, and security teams to enable DevSecOps practices. Troubleshoot production issues, perform root cause analysis, and apply permanent fixes. Contribute to disaster recovery and backup planning. Mentor junior engineers and share best practices within the team. Required Skills & Qualifications: 8–12 years of proven experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles. Strong expertise in cloud platforms: AWS / Azure / GCP. Hands-on experience with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD, etc. Proficiency in Infrastructure as Code (IaC): Terraform, Ansible, Helm. Solid understanding of Kubernetes & containerization. Knowledge of networking, load balancing, security, and firewalls in cloud environments. Expertise in monitoring, logging, and observability. Scripting/programming skills in Python, Bash, or Go. Familiarity with DevSecOps practices and security compliance standards.

We are looking for a highly skilled Software Development Engineer in Test (SDET) who combines strong software engineering fundamentals with expertise in test automation. The ideal candidate is a software engineer who writes high-quality test code to validate that product acceptance criteria are fully met while ensuring quality, security, accessibility, and maintainability. Key Responsibilities • Design, develop, and maintain automated test frameworks using Ruby and Gherkin (BDD) following established coding standards and guidelines., • Create readable, maintainable, and reusable test automation scripts using Ruby-based frameworks. ("Looks like Ruby, feels like Ruby."), • Develop automated acceptance tests that verify business requirements and demonstrate that acceptance criteria are satisfied., • Collaborate with developers, product owners, and QA teams to define and automate test scenarios using Behavior-Driven Development (BDD)., • Ensure applications meet Accessibility and Security testing standards as part of the automated testing strategy., • Maintain and enhance the local, unofficial Performance Test Pack to support engineering teams. (Note: This complements, but does not replace, the organization's formal performance testing plan.), • Support automation for Use Case 6 and other function...

Job Title: Devops engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, implement, and manage CI/CD pipelines for automated builds, testing, and deployments. Maintain and optimize infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation. Manage cloud infrastructure (AWS, Azure, or GCP) for high availability and scalability. Implement and monitor container orchestration platforms (Kubernetes, Docker, EKS, AKS, GKE). Ensure system reliability through logging, monitoring, and alerting solutions (Prometheus, Grafana, ELK/EFK, CloudWatch). Drive automation initiatives to reduce manual effort and improve system efficiency. Collaborate with development, QA, and security teams to enable DevSecOps practices. Troubleshoot production issues, perform root cause analysis, and apply permanent fixes. Contribute to disaster recovery and backup planning. Mentor junior engineers and share best practices within the team. Required Skills & Qualifications: 8–12 years of proven experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles. Strong expertise in cloud platforms: AWS / Azure / GCP. Hands-on experience with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD, etc. Proficiency in Infrastructure as Code (IaC): Terraform, Ansible, Helm. Solid understanding of Kubernetes & containerization. Knowledge of networking, load balancing, security, and firewalls in cloud environments. Expertise in monitoring, logging, and observability. Scripting/programming skills in Python, Bash, or Go. Familiarity with DevSecOps practices and security compliance standards.

A platform you can believe in: Immersive One is the leading cyber resilience solution across the globe. Build and scale a best in class platform alongside a team of the brightest minds in cybersecurity. At Immersive, we’re uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on! Immersive help prove and improve your cyber resilience, by simulating real-world threats, testing your skills, and measuring performance. We put your readiness to the ultimate test. From sharpening technical capabilities to making high-pressure decisions, our platform allows you to assess every angle, pinpoint areas for growth, and prove your ability to tackle evolving threats with unwavering confidence. _ Immersive was founded in 2017, from a cargo container in Bristol, UK we’ve grown to over 300 employees globally, announced funding of more than £150 million and been voted a Best place to work on multiple occasions! _ UI Designer - UK Immersive is hiring! Could you be our next UI Designer? We’re looking for an experienced, customer-centric and data-driven individual to join our Product team as a UI / Visual Designer to help shape the next generation of our platform experience. As a voice and advocate for Product excellence within Immersive, you will be a key driver of the evolution of our flagship Immersive One platform, ensuring we continue to delight our users and expand our market leadership. Reporting directly to our Director of Product Design and based out of the UK, your mission (if you choose to accept it) is to define the future of the Immersive One user experience,. This role is for someone who loves considered interface design and understands that great UI is about both form and function. We’re looking for a designer who can create experiences that are visually beautiful, but also clear, usable, accessible, scalable and grounded in how people actually work. You’ll work closely with product designers, engineers and product leaders to create platform experiences that feel modern, intuitive, polished and distinctive - while also supporting real product workflows, complex information, reusable patterns and practical implementation. As our platform continues to evolve, you’ll help define how product quality shows up visually and functionally: through strong layouts, thoughtful interaction details, reusable patterns, expressive themes and a design system that enables craft at scale. This is a great opportunity for a designer who combines strong visual taste with systems thinking. You’ll be comfortable moving between broader visual exploration to detailed UI work, design-system contribution and close collaboration with engineering. We’re also interested in how AI can support modern design workflows - helping us explore ideas faster, prototype more effectively, reduce repetitive production effort and create more space for high-quality design judgement. You’ll be joining at a pivotal stage of our platform evolution, with the opportunity to influence how our product looks, feels and scales. This role is a chance to shape the craft, quality and design-system foundations behind a modern product platform - working across visual direction, reusable patterns, component thinking and AI-enabled workflows. If you’re excited by the challenge of making complex software feel clear, usable, polished and distinctive, we’d love to hear from you. As a individual contributor in the team, your main responsibilities will include: Create high-quality platform interfaces that are clear, usable, accessible and visually polished. Build intuitive, structured interfaces for complex workflows and information, using strong visual themes and interaction patterns to make the platform feel modern, distinctive and engaging. Develop reusable UI patterns, components and templates that scale across the platform. Evolve to the design system, including component usage, visual standards and interaction states. Explore new visual themes and interface treatments for the platform Partner with engineers to ensure designs are buildable, consistent and delivered to a high quality in the product. Support the translation of design ideas into production-ready components, patterns and implementation guidance. Support component specification, implementation review and design QA. Use AI tools to speed up exploration, prototyping and repetitive production tasks. Help raise the overall quality bar of the platform through beautiful, usable and systemised design craft Platform UI feels more polished, modern and visually consistent. Complex workflows and information are easier for users to understand and act on. Reusable patterns, components and templates help teams design and build faster. The design system becomes stronger, clearer and easier to apply across product work. Product designers and engineers have better guidance for component usage, interaction states and implementation quality. New product areas have a stronger visual direction while still feeling connected to the wider platform. AI-enabled workflows help speed up exploration, prototyping and production tasks without reducing design quality. Design craft is scaled through systems, not just applied to isolated screens. Sounds good? We’d love to hear from you if you have proven experience in the following areas, but don’t worry if you don’t hit each one exactly: Experience in UI design, visual design and design systems. A strong portfolio showing polished digital product work. Excellent visual design fundamentals and strong attention to detail. Experience working with or contributing to design systems, including reusable components, documentation, design tokens or Storybook-style workflows. Confidence designing reusable patterns, components and scalable interface solutions. Experience working closely with product designers and engineers to create practical, buildable UI, with specific exposure to front-end engineers, component libraries or design-system implementation. A pragmatic mindset: you care deeply about craft, but can design within real product constraints. Curiosity about AI-assisted design workflows and modern design-to-build practices. Experience designing SaaS, enterprise products, dashboards, data-rich interfaces or complex platforms. Basic understanding of front-end implementation principles. Interest in motion, micro-interactions, prototyping or AI-assisted design tools. Immersive’s growth has been fuelled by our values that underpin everything we do, here's how they relate to this role: Driven - We push the boundaries of innovation, acting swiftly to achieve ambitious outcomes. Our drive embodies a culture of ambition, where challenges are stepping stones to excellence. Inclusive - Our strength lies in diversity, fostering a culture where every individual contributes to our collective strength. We champion open dialogue and empathy, ensuring a collaborative, inclusive workplace. Customer Centric - We seek to develop deep relationships with our customers to help them achieve their business outcomes. We exceed our customers and partners' expectations by crafting products, services and experiences that surprise, delight and ensure they feel valued and supported every day. One Team - We are a talented global team working together to achieve our vision. Central to our ethos, resilience means adapting and thriving in adversity. It guides our innovation, ensuring we and our clients are prepared for the future. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work. Excited by the above? We’re ready to receive your application! As well as an inclusive, supportive place for you to be you. We offer an extensive range of benefits so you can do your very best work: Time off, flexible and remote working so you can work when is best for you, includes 25 days annual leave + 2 volunteering days and birthday day off Look after your family and yourself with enhanced parental leave, mindfulness groups, critical illness cover, Career and learning development through the platform and our ‘Learn Anything’ fund Share in the companies success with share options, sales incentives and Recognition & Rewards for doing great work and living our values and behaviours Informal or formal flexible working options, e.g. flexible start and finish times, reduced hours, job share, remote working We’re a sociable, tight-knit team with monthly socials, and sports clubs. Our socials have included everything from pottery painting and paper mask making, to movie nights and escape rooms While this is a remote position, we do all meet in our EMEA HQ on a bi annual basis and regularly in person in region. Find out more about life at Immersive Labs_ Cyber threats wait for no one and neither should you. Apply now! If you would like to read more about what you can expect from our recruitment process, you can visit our dedicated_ page.

We are building a high-impact core team of 9 professionals across engineering, product, and design. The QA Engineer is the final gatekeeper of MVP launch quality: functional testing, permissions, AI report validation, and data migration verification.