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Jewellery Quarter Bullion – DevOps Engineer Location: Birmingham (Hybrid, must be local) Contract: Full time, permanent contract, 37.5 hours per week Salary: up to £50,000 depending on experience Package & Benefits • Bonus: up to 10%, • 33 days holiday (with option to buy up to 5 additional days), • Onsite Gym, • Annual training and certification budget, • Health and wellbeing programme, • Employee and store discount Hybrid role based in Birmingham; visa sponsorship is not available About Jewellery Quarter Bullion We’re passionate about gold and silver investment, making it simple for customers across the UK and Europe to buy, sell and store bullion securely. As the UK’s leading online bullion dealer with £350m+ turnover, our brands (BullionByPost.co.uk, Gold.co.uk and others) are trusted by thousands of investors. You’ll join a fast-paced, high-growth business with a market-leading online presence, working within a technology team focused on performance, automation and continuous improvement. Role Overview We’re hiring a DevOps Engineer to take ownership of our infrastructure and work closely with our development team to improve how we build, deploy and scale our systems. This role sits at the intersection of development and operations, with a strong focus on automation, reliability and performance across our high-traffic e-commerce platforms. You’ll play a key role in evolving our DevOps capability, helping to streamline deployments, improve system resilience and reduce manual processes through infrastructure as code and modern tooling. This is not a traditional system administration role. We’re looking for someone with an engineering mindset who enjoys building, automating and improving systems rather than maintaining them. Key Responsibilities • Design, build and maintain scalable and reliable infrastructure, • Develop and improve CI/CD pipelines to support efficient software delivery, • Build and maintain infrastructure as code using tools such as Terraform and Ansible, • Work closely with developers to improve deployment processes, performance and reliability, • Monitor system performance and availability using tools such as Prometheus and Grafana, • Lead incident response and contribute to post-incident reviews, • Automate repetitive processes and reduce manual intervention, • Improve system resilience, scalability and fault tolerance, • Support security, backups and system hardening, • Document systems and processes to support knowledge sharing Skills & Experience • Experience in a DevOps or similar engineering-focused role working with production systems, • Experience with infrastructure automation tools such as Terraform or Ansible, • Experience working with containerised environments such as Docker or Kubernetes, • Experience building or supporting CI/CD pipelines, • Strong understanding of Linux environments, • Scripting experience such as Bash or Python, • Understanding of system reliability, monitoring and performance optimisation, • Strong problem-solving skills and a proactive mindset, • Confident communicator able to work effectively across teams, • Experience supporting high-traffic or e-commerce platforms (desirable), • Familiarity with GitLab CI/CD, Helm or ClickHouse (desirable), • Experience with monitoring and observability tooling (desirable), • Experience working in fintech, e-commerce or similar fast-paced environments (desirable) Why You’ll Love It Here • Work on infrastructure powering a £350m+ online business, • Be part of a fast-moving, collaborative technology team, • Play a key role in shaping and improving core systems, • Gain exposure to modern DevOps tooling and practices, • Continuous learning supported through training and certification budget, • Be part of a business that values ownership, innovation and improvement, • A culture rooted in Integrity, Agility, Ambition, Clarity and Efficiency About You You’ll thrive in this role if you: • Take pride in building scalable, reliable and well-structured systems, • Enjoy solving technical problems and improving how things work, • Communicate well with both technical and non-technical teams, • Are proactive and focused on automation and continuous improvement, • Want to make a real impact in a growing, high-performance business Please note that all successful candidates will be required to complete pre-employment screening checks, which include: • Right to work verification, • Criminal record check (DBS), • Reference checks, • For certain roles, credit/fraud screening may also be required Ready to Apply? If this sounds like the right opportunity for you, we’d love to hear from you. Application Deadline: 5th June 2026 (we reserve the right to close this vacancy early if the right candidate is appointed). At JQB we champion diversity and promote equal opportunities. We encourage applications from every background, you’re welcome here.

Senior Full Stack Web Developer (PHP) \n£50k-£60k DOE || Remote Working \n\n About The Client\nThe client, is one of the UK’s most established vaping brands, with over 15 years of industry experience. Operating across ecommerce and retail, the business is known for its high-quality vaping products, UK manufacturing capabilities, and strong focus on customer service. With a loyal customer base and nationwide presence, the client continues to position itself as a trusted leader in the vaping sector.\n\nCore Technical Skills \n\n - Strong proficiency in PHP (modern versions, OOP, best practices)\n - Extensive experience with PHP frameworks such as Laravel, Symfony, or similar\n - Solid front-end development skills using JavaScript / TypeScript\n - Experience with modern frontend frameworks (e.g. React, Vue, or Angular)\n - Deep understanding of HTML5, CSS3, and responsive design\n - Experience building and consuming RESTful APIs\n\n \nEssential Tools & Ecosystem \n\n - Experience with version control using Git (branching strategies, pull requests, code\n\nreviews) \n\n - Strong working knowledge of Composer\n - Experience with npm / Node.js\n - Familiarity with build tools (e.g. Vite, Webpack)\n - Experience working with Linux-based development environments\n\n \nBackend & Database \n\n - Strong experience with MySQL\n - Understanding of database design, indexing, and performance optimisation\n - Experience with ORMs (e.g. Eloquent, Doctrine)\n - Knowledge of caching systems (Redis, Memcached)\n\n \nArchitecture & Best Practices \n\n - Proven experience designing scalable and maintainable applications\n - Strong understanding of MVC architecture and design patterns\n - Experience writing clean, testable, and well-documented code\n - Understanding of API security, authentication, and authorization\n\n \nDevOps & Deployment \n\n - Experience with CI/CD pipelines\n - Familiarity with Docker and containerised environments\n - Understanding of server management and web servers (Nginx, Apache)\n\n \nExperience \n\n - 5+ years of professional development experience, primarily with PHP\n - Proven track record of delivering production-grade web applications\n - Previous experience in a senior role\n\n \nSoft Skills \n\n - Strong problem-solving skills and attention to detail\n - Ability to mentor and support junior developers\n - Excellent communication skills\n - Proactive mindset with strong ownership of work\n\n \nNice-to-Have \n\n - Familiarity with GraphQL\n - Experience with microservices architecture\n - Exposure to automated testing pipelines and QA processes\n - Experience working with magento 2 and building modules\n - Understanding / experience of working with AI agents.\n\nCould this be the role for you? If you are interested, click apply!!

DevSecOps Engineer – Software United Kingdom | Hybrid/Flexible Working DV or eDV Clearance Required We are seeking an experienced DevSecOps Engineer to join a high-performing technology team delivering secure, scalable, and high-impact software solutions within complex cloud and cyber environments. This role is ideal for someone who enjoys solving challenging technical problems, embedding security throughout the development lifecycle, and working collaboratively across engineering, delivery, and stakeholder teams. You will play a key role in designing, developing, and maintaining secure cloud-native solutions while helping drive DevSecOps best practices, automation, and continuous improvement across projects. The Role As a DevSecOps Engineer, you will contribute across the full software delivery lifecycle — from requirements gathering and architecture through to deployment, security, automation, and operational support. You will work closely with developers, architects, technical leads, and stakeholders to deliver secure, reliable, and innovative solutions aligned to business and operational objectives. Key Responsibilities • Design, build, and maintain secure, scalable software solutions and cloud environments, • Embed security best practices throughout the SDLC including automated security testing and compliance checks, • Contribute to CI/CD pipelines, deployment automation, and continuous testing processes, • Collaborate with cross-functional teams to refine requirements and shape technical solutions, • Support technical investigations, prototyping, and innovation initiatives, • Participate in architectural discussions and contribute to solution design decisions, • Help improve engineering processes, tooling, and automation practices, • Engage with stakeholders, including security and policy teams, to identify and mitigate delivery risks, • Provide mentorship, code reviews, and technical guidance to less experienced engineers, • Promote Agile delivery principles and foster a collaborative team culture Skills & Experience We are looking for candidates with experience across software engineering, cloud infrastructure, and DevSecOps practices, including expertise in at least three of the following areas: Software Development • Strong experience in one or more of:, • Java, • Spring Boot, • Python, • JavaScript / TypeScript, • ReactJS, • Understanding of SOLID principles and clean coding practices Cloud & Infrastructure • Experience with AWS or Azure cloud platforms, • Ability to configure, deploy, and secure cloud-native environments, • Understanding of modern infrastructure and security best practices DevSecOps & Automation • Experience with CI/CD pipelines and automation tooling, • Knowledge of security integration across the SDLC including:, • SAST, • DAST, • Continuous testing, • Experience using tools such as Jenkins or GitHub Actions Containerisation & Testing • Experience with Docker or similar containerisation technologies, • Experience with testing frameworks and BDD approaches including:, • Cypress, • Selenium, • Cucumber, • Behave, • Gherkin Agile & Collaboration • Experience working within Agile delivery environments such as Scrum or Kanban, • Strong stakeholder communication and collaboration skills, • Experience coaching or mentoring junior engineers

Senior DevOps Engineer – Tech for Good – AWS, Kubernetes, Terraform, CI/CD, Monitoring Oliver Bernard are currently working with an established EdTech company, based in London, looking to expand their DevOps function with a Senior level engineer. The incoming profile will have the chance to work across AI and Data driven platforms, influencing scalability as they expand the usage of the product, whilst driving DevOps best practices. The incoming engineer must be comfortable in a Senior capacity, able to lead from the front, mentor others, and be comfortable working in an embedded capacity across different teams / squads. From a hands-on perspective, to be considered for this opening you’ll need at least 5-6 years’ experience, encompassing the following: • Hands-On Cloud experience with AWS and AWS Services, • Expert knowledge of Containerisation with Docker and Kubernetes, • Strong Infrastructure as Code experience with Terraform, • History of CI/CD experience, specifically with GitHub Actions, • Strong Monitoring experience with DataDog, • Recent hands-on project work with Python and Lambdas This position is open to Senior level Engineers, able to offer £75-85K, and operates a remote first model (with only quarterly visits required). Please apply here to register interest in this opportunity. Senior DevOps Engineer – Tech for Good – AWS, Kubernetes, Terraform, CI/CD, Monitoring

Cloud Native DevOps Engineer – AWS (SC Cleared) UK Wide Up to £85,000 + Benefits Hybrid Ready to work on mission-critical cloud programmes using cutting-edge AWS technology? We’re hiring multiple Cloud Native DevOps Engineers to join a high-performing team delivering secure, scalable solutions across major UK clients. What you’ll have the opportunity to do as a Cloud Native DevOps Engineer • Build and manage AWS environments, • Develop Infrastructure as Code (Terraform / CloudFormation), • Create and maintain CI/CD pipelines, • Deliver cloud solutions in Agile teams, • Monitor and optimise performance and security, • Work across secure, enterprise environments About the Candidate • Strong AWS hands-on experience, • Experience with IaC tools (Terraform preferred), • CI/CD pipeline experience (Jenkins, GitLab CI etc.), • Docker / Kubernetes knowledge, • Scripting skills (Python, Bash or PowerShell), • Understanding of networking, security and monitoring What’s in it for you? • Salary ranging from £65,000 to £85,000, • Hybrid working model, • Opportunity to work on long-term, high-impact cloud programmes, • Career progression, • Comprehensive benefits package To hear more about the Cloud Native DevOps opportunity Contact Daire McIlhatton at daire.mcilhatton@ansonmccade.com

Cloud Native DevOps Engineer – AWS (SC Cleared) UK Wide Up to £85,000 + Benefits Hybrid Ready to work on secure, mission-critical cloud programmes using cutting-edge AWS technologies? We’re hiring multiple Cloud Native DevOps Engineers to join a high-performing consultancy delivering large-scale transformation across UK government and enterprise clients. What you’ll have the opportunity to do as a Cloud Native DevOps Engineer: • Build and manage secure AWS cloud environments, • Develop and maintain Infrastructure as Code (Terraform / CloudFormation), • Design and optimise CI/CD pipelines for automated delivery, • Deploy and support containerised workloads (Docker / Kubernetes), • Work in Agile teams delivering iterative improvements, • Monitor, troubleshoot and optimise performance, security and reliability, • Operate within highly secure, regulated environments What we're looking for: • Strong hands-on AWS experience in production environments, • Experience with Infrastructure as Code (Terraform preferred), • CI/CD tooling experience (Jenkins, GitLab CI, ArgoCD etc.), • Containerisation experience (Docker, Kubernetes), • Strong scripting ability (Python, Bash or PowerShell), • Understanding of networking, cloud security and observability tools What's in it for you? • Hybrid working model (UK wide flexibility), • Opportunity to work on secure, high-impact transformation programmes, • Strong focus on training, certifications (AWS, DevOps, Security) and career progression, • Comprehensive benefits package

The Opportunity: This is an opportunity to join IRIS Software Group as we transform into an AI-first company delivering cloud-native solutions that impact millions of lives globally. IRIS produces an integrated suite of mission-critical software applications spanning accountancy, HR, payroll, education, and business operations. You will be working as part of an Agile team to deliver innovative solutions to user stories and requirements, contributing to our modernisation journey that serves over 100,000 customers across 135 countries. The role is challenging and dynamic, with key deadlines to be met as we accelerate our cloud transformation and implement next-generation technologies. You’ll need to embrace continuous learning and bring a focused attitude to tasks that directly enable businesses, schools, and organisations to work smarter and more efficiently. You will be involved in a variety of cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed to creating exceptional solutions that make a real difference in how our customers operate and succeed. Role Purpose The Engineering Lead is a hybrid leadership role that combines technical leadership, agile delivery ownership, and people management. You will lead an autonomous engineering team building modern full-stack web applications using the latest UI frameworks, .NET Core backends, and cloud-native technologies, ensuring both delivery excellence and team development while remaining technically hands-on with containerised, scalable solutions. Key Responsibilities Delivery Management (40%) • Ensure projects are scoped, prioritised, and delivered on time with clear alignment to business goals and quarterly OKRs, • Drive predictability, velocity, and quality through effective agile practices and continuous improvement, • Communicate proactively with stakeholders (product, design, leadership, customers) on delivery progress, risks, and dependencies, • Facilitate alignment between technical capabilities and business objectives through clear, strategic communication, • Own team’s Agile maturity, establish team delivery standards, and optimise team practices for maximum effectiveness and predictability, • Balance workload, staffing, and hiring needs to maintain sustainable delivery while planning for growth, • Manage up and across the organisation to secure resources, remove impediments, and represent the team strategically Technical Leadership & Contribution (40%) • Provide strategic technical leadership through architectural guidance and critical technical decisions, with selective hands-on contributions, • Define technical decisions and maintain system health through architectural oversight and technical debt management, • Establish and drive comprehensive quality culture including TDD/BDD practices, testing standards, automated quality gates, and team code review excellence, • Define team security standards ensure team compliance governance, and drive security-first culture within the engineering team, • Stay technically current through code reviews, architectural discussions, strategic technical involvement and ensure alignment with broader organisational technical strategy, • Delegate technical execution to senior team members while maintaining oversight and accountability, • Define AI strategy and ensure responsible AI culture across teams, • Empower team decision-making within established frameworks and escalation criteria, • Define team documentation strategy establish governance frameworks for the team, and ensure knowledge management within the engineering team People Management (20%) • Line manage engineers including coaching, performance reviews, career planning, and regular 1:1s, • Create inclusive, collaborative environment that enables team success by removing blockers and providing resources, • Develop team members through structured career development, skill building, and succession planning, • Handle performance management including improvement plans, conflict resolution, and team dynamics Required Experience & Skills Technical Skills • Frontend Strategy: Strategic understanding of modern UI frameworks (e.g. Angular, React, Vue.js, Blazor), • Backend Leadership: Strong understanding of .NET Core, C#, ASP.NET Core Web APIs, REST, application architectures, and distributed systems, • Data Architecture: Strategic knowledge of SQL, NoSQL and data architecture decisions, • AI-Assisted Software Engineering: Experience with integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) in engineering practices to accelerate design, development, testing and debugging. Using them critically and responsibly to improve quality, productivity and decision-making., • CI/CD Strategy: Define team CI/CD strategy, establish team governance frameworks, and ensure adoption of deployment best practices across the team, • Infrastructure as Code: Infrastructure as Code with Terraform, ARM Templates or AWS CloudFormation/CDK, • Observability Strategy: DataDog, Application Insights or Amazon CloudWatch implementation with comprehensive observability strategy and cloud governance, • Cloud Strategy: Strategic SAAS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) ecosystems, • Container Orchestration: Advanced Container (e.g. Docker) and Kubernetes (AKS/EKS) with production-scale deployments, • Architecture Governance: Expertise in clean architecture, domain-driven design, and application architectural patterns, • Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels, • Quality & Testing Leadership: Define team testing strategy, establish quality governance for the team, and measure team adoption with continuous improvement initiatives, • Application Security: Confident vulnerability management, thread modelling and tracking, • Production Support: Knowledge of observability and production support practices Experience Requirements • 6+ years in software engineering, minimum 1 year of formal people management experience OR 2+ years of technical leadership with mentoring responsibilities, • Demonstrable experience delivering complex software projects using Agile methodologies, • Proven recent technical skills with strategic contributions to production systems, • Code review leadership with experience establishing review standards and culture, • Demonstrated ability to balance technical excellence with business delivery requirements Leadership & Soft Skills • Excellent communication, collaboration, and stakeholder management skills, • Effective prioritisation and negotiation abilities, • Strong analytical and strategic thinking capabilities, • Ability to balance technical excellence with business delivery requirements, • Fostering collaboration, promoting team building and culture development skills Desirable Skills • Experience working with regulated or complex domains (finance, health, govtech) with audit requirements, • Experience line managing engineers including 1:1s, performance reviews, and career development, • Experience with platform engineering or shared service teams building reusable UI components and backend services, • Experience designing high-quality AI interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows, • Expertise with advanced monitoring and APM strategies using DataDog, including custom dashboards and alerting, • Advanced understanding of modern UI architecture patterns (micro-frontends, SSR/SSG), • Experience as Engineering Lead, Tech Lead, or similar leadership role with full-stack teams, • Exposure to DevOps processes and automation ensuring end-to-end responsibility of features, • Advanced cloud certifications in Azure or AWS Key Relationships • Internal: Engineering Teams, Engineering Directors, Product Owners/Managers, QA Teams, DevOps Teams, Platform Teams, • External: Professional Services, Customer Support, Third-party vendors and partners, • Leadership: Engineering Director, VP Engineering, Product Leadership, Executive Team Success Measures • Delivery Excellence: Sprint goals achieved, predictable releases, strong velocity, and minimal carry-over, • Technical Leadership: High team code quality, effective architecture decisions, reduced technical debt, improved scalability, and proactive tooling adoption, • Strategic Leadership: Selective technical contributions to critical decisions with effective delegation, • Quality Excellence: Team adoption of automated TDD/BDD and code review practices with effective quality gates and measurable quality improvements, • People Development: Autonomous team with strong ownership, positive engagement scores, clear development objectives, low attrition, and active succession planning, • Cross-Functional Impact: Strong collaboration with Product, Design, and Platform teams, supported by positive stakeholder feedback, • Business Alignment: Quarterly OKRs/KPIs achieved or exceeded with clear business impact

Title: Network Automation Engineer Shape the future of intelligent, automated networks at GTT At GTT, we operate one of the world’s largest global IP networks—and we’re transforming how it’s managed. We’re looking for an experienced Network Automation Engineer to play a leading role in building AI Ops platforms, agentic AI workflows, and automation solutions that power a carrier‑class, global network. This role sits at the intersection of software engineering, network automation, and AI‑driven operations, with real influence over how we design, scale, and evolve our network management capabilities. About the role You’ll focus on outcomes—improving reliability, scalability, and operational efficiency across our global network—by designing and delivering automation and AI Ops solutions. Key responsibilities include: • Defining and delivering an AI Ops network automation strategy aligned to business and customer outcomes, • Identifying and implementing automation across network provisioning, configuration, monitoring, and analytics, • Building and operating on‑prem AI infrastructure, including GPU‑enabled environments using Docker and Kubernetes, • Deploying and orchestrating agentic AI systems (e.g., LangChain, LangGraph), • Embedding security best practices across AI pipelines (secrets management, access control, encryption, audit logging), • Developing automation using Python, Ansible, YAML, and integrating into CI/CD pipelines, • Delivering network orchestration, inventory, telemetry, and NetFlow‑based analytics for a carrier‑grade environment, • Collaborating closely with software, platform, and network engineering teams globally What we’re looking for: Essential experience • 4+ years across the full software development lifecycle in a network technology environment, • Strong Python and automation scripting experience, • Hands‑on experience with Ansible and modern CI/CD workflows (GitHub, GitLab, Jenkins), • Solid understanding of container lifecycle management and infrastructure automation, • Strong foundation in routing, switching, network platforms, and inventory systems, • Experience working with telemetry and high‑volume network analytics Nice to have • AI/ML or AI Ops platform experience, • GPU and server infrastructure management, • NetBox customization or similar network inventory platforms Our Commitments: Adaptive Mindset: We meet change head‑on to build the capabilities we need now. We take personal ownership of our professional development to keep pace with change and actively drive it. Collective Impact: We treat innovation as a team sport, working powerfully together to create extraordinary impact. We collaborate openly and with a shared purpose and amplify our unique human strengths to solve complex challenges that technology alone cannot. Customer Ownership: We own our customers’ success, whether an internal stakeholder or an external client. We take full accountability, anticipate their needs and create smooth experiences to build trust with every touchpoint. In an automated world, personal ownership is GTT’s competitive edge. EEO Statement (US) GTT provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, GTT complies with applicable state and local laws governing non‑discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. GTT expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of GTT’s employees to perform their job duties may result in discipline up to and including discharge.

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Retrospective reviews Working with the Technical Data Engineers Technical Team deliverables and leading by example: • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

We are looking for GenAI and Agentic Engineers to join a leading global business and technology transformation consultancy within its Data Science and AI practice. This role focuses on the end-to-end design, development, and deployment of intelligent systems that combine Generative AI models, agentic frameworks, and full-stack engineering. You will work at the intersection of strategy and technology, helping clients move beyond rapid prototyping to scale production-grade AI products that solve complex business challenges. Key Responsibilities • Design, develop, and deploy both front-end and back-end components for AI-powered applications, with a focus on GenAI and agentic solutions, • Architect agentic workflows incorporating Human-in-the-loop (HITL) gates, auditability, policy controls, and robust evaluation frameworks for regulated environments, • Translate business requirements into technical AI architectures, leveraging data science and analytics to deliver high-standard client outcomes, • Collaborate with cloud architects, data scientists, and product managers to transition early-stage PoCs into scalable MVPs and production systems, • Support business development activity by building AI demonstrators for client showcases and contributing technical expertise to proposals and RFPs, • Contribute to internal practice development through the creation of whitepapers, campaign development, and the refinement of AI service offerings, • Facilitate knowledge sharing and mentoring within the engineering team to maintain high delivery standards and pace Requirements • Experience operating within a major consulting firm or a high-growth industry environment with a consulting mindset, • Proven track record of delivering full-stack applications across the entire lifecycle, from PoC to secure, production-grade solutions, • Technical proficiency in Python (3.10+), TypeScript/JavaScript, and SQL, • Experience with backend frameworks (FastAPI, Django, or Flask) and modern frontend stacks (React.js, Next.js, Tailwind CSS), • Proficiency in cloud environments, specifically Azure (OpenAI, AKS) or GCP (Vertex AI), including experience with Docker and CI/CD pipelines, • Strong stakeholder management skills, with the ability to collaborate with both technical and non-technical client sponsors, • Eligibility for UK security clearance (requires 5 years of continuous UK residency) Desirable Experience • Experience with Agentic frameworks such as LangChain, CrewAI, Autogen, or OpenAI Agents, • Familiarity with RAG pipelines, MCP, and LLM evaluation tools like LangSmith or TruLens, • Knowledge of software engineering best practices, including Clean Code (SOLID), TDD, and modular architecture, • Experience building AI-specific UX patterns, such as streaming, provenance citations, and error-recovery loops Why Apply? This is an opportunity to join a specialist AI and Data Science team within a global transformation partner. You will work on high-impact projects across both public and private sectors, moving technology from experimental stages into the real world. The role offers the freedom to explore the latest models and frameworks, supported by a culture that values ethical technology and innovation. The organisation provides a clear path for professional growth, a flexible hybrid working model, and the opportunity to shape the future of agentic AI within a Tier-1 consultancy environment.

The Opportunity This is an opportunity to join IRIS Software Group as we transform into an AI-first company delivering cloud-native solutions that impact millions of lives globally. IRIS produces an integrated suite of mission-critical software applications spanning accountancy, HR, payroll, education, and business operations. You will be working as part of an Agile team to deliver innovative solutions to user stories and requirements, contributing to our modernisation journey that serves over 100,000 customers across 135 countries. The role is challenging and dynamic, with key deadlines to be met as we accelerate our cloud transformation and implement next-generation technologies. You’ll need to embrace continuous learning and bring a focused attitude to tasks that directly enable businesses, schools, and organisations to work smarter and more efficiently. You will be involved in a variety of cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed to creating exceptional solutions that make a real difference in how our customers operate and succeed. Role Purpose The Engineering Lead is a hybrid leadership role that combines technical leadership, agile delivery ownership, and people management. You will lead an autonomous engineering team building modern full-stack web applications using the latest UI frameworks, .NET Core backends, and cloud-native technologies, ensuring both delivery excellence and team development while remaining technically hands-on with containerised, scalable solutions. Key Responsibilities Delivery Management (25%) • Ensure projects are scoped, prioritised, and delivered on time with clear alignment to business goals and quarterly OKRs, • Drive predictability, velocity, and quality through effective agile practices and continuous improvement, • Communicate proactively with stakeholders (product, design, leadership, customers) on delivery progress, risks, and dependencies, • Facilitate alignment between technical capabilities and business objectives through clear, strategic communication, • Own team’s Agile maturity, establish team delivery standards, and optimise team practices for maximum effectiveness and predictability, • Balance workload, staffing, and hiring needs to maintain sustainable delivery while planning for growth, • Manage up and across the organisation to secure resources, remove impediments, and represent the team strategically Technical Leadership & Contribution (50%) • Provide strategic technical leadership through architectural guidance and critical technical decisions, with selective hands-on contributions, • Define technical decisions and maintain system health through architectural oversight and technical debt management, • Establish and drive comprehensive quality culture including TDD/BDD practices, testing standards, automated quality gates, and team code review excellence, • Define team security standards ensure team compliance governance, and drive security-first culture within the engineering team, • Stay technically current through code reviews, architectural discussions, strategic technical involvement and ensure alignment with broader organisational technical strategy, • Delegate technical execution to senior team members while maintaining oversight and accountability, • Define AI strategy and ensure responsible AI culture across teams, • Empower team decision-making within established frameworks and escalation criteria, • Define team documentation strategy establish governance frameworks for the team, and ensure knowledge management within the engineering team People Management (25%) • Line manage engineers including coaching, performance reviews, career planning, and regular 1:1s, • Create inclusive, collaborative environment that enables team success by removing blockers and providing resources, • Develop team members through structured career development, skill building, and succession planning, • Handle performance management including improvement plans, conflict resolution, and team dynamics Required Experience & Skills Technical Skills • Frontend Strategy: Strategic understanding of modern UI frameworks (e.g. Angular, React, Vue.js, Blazor), • Backend Leadership: Strong understanding of .NET Core, C#, ASP.NET Core Web APIs, REST, application architectures, and distributed systems, • Data Architecture: Strategic knowledge of SQL, NoSQL and data architecture decisions, • Agentic AI Engineering: Demonstrated experience using AI coding agents (Cursor, Copilot, Devin, Claude Code, etc.) as a primary development workflow — not as a productivity add-on. Able to define team guardrails, review AI-generated output critically, and lead a team culture where agentic development is the default mode of working., • Prompt engineering and AI workflow design: Experience designing effective AI interactions through prompt engineering, context management, and MCP integration — with the ability to coach team members on getting high-quality, production-safe output from AI agents., • CI/CD Strategy: Define team CI/CD strategy, establish team governance frameworks, and ensure adoption of deployment best practices across the team, • Infrastructure as Code: Infrastructure as Code with Terraform, ARM Templates or AWS CloudFormation/CDK, • Observability Strategy: DataDog, Application Insights or Amazon CloudWatch implementation with comprehensive observability strategy and cloud governance, • Cloud Strategy: Strategic SAAS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) ecosystems, • Container Orchestration: Advanced Container (e.g. Docker) and Kubernetes (AKS/EKS) with production-scale deployments, • Architecture Governance: Expertise in clean architecture, domain-driven design, and application architectural patterns, • Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels, • Quality & Testing Leadership: Define team testing strategy, establish quality governance for the team, and measure team adoption with continuous improvement initiatives, • Application Security: Confident vulnerability management, thread modelling and tracking, • Production Support: Knowledge of observability and production support practices Experience Requirements • 8+ years in software engineering, minimum 1 year of formal people management experience OR 2+ years of technical leadership with mentoring responsibilities, • Demonstrable experience delivering complex software projects using Agile methodologies, • Proven recent technical skills with strategic contributions to production systems, • Code review leadership with experience establishing review standards and culture, • Demonstrated ability to balance technical excellence with business delivery requirements Leadership & Soft Skills • Excellent communication, collaboration, and stakeholder management skills, • Effective prioritisation and negotiation abilities, • Strong analytical and strategic thinking capabilities, • Ability to balance technical excellence with business delivery requirements, • Fostering collaboration, promoting team building and culture development skills Desirable Skills • Experience working with regulated or complex domains (finance, health, govtech) with audit requirements, • Experience line managing engineers including 1:1s, performance reviews, and career development, • Experience with platform engineering or shared service teams building reusable UI components and backend services, • Expertise with advanced monitoring and APM strategies using DataDog, including custom dashboards and alerting, • Advanced understanding of modern UI architecture patterns (micro-frontends, SSR/SSG), • Experience as Engineering Lead, Tech Lead, or similar leadership role with full-stack teams, • Exposure to DevOps processes and automation ensuring end-to-end responsibility of features, • Advanced cloud certifications in Azure or AWS Success Measures • Delivery Excellence: Sprint goals achieved, predictable releases, strong velocity, and minimal carry-over, • Technical Leadership: High team code quality, effective architecture decisions, reduced technical debt, improved scalability, and proactive tooling adoption, • Strategic Leadership: Selective technical contributions to critical decisions with effective delegation, • AI adoption: Team is operating with agentic AI tooling embedded in daily workflow, with measurable impact on delivery velocity and code quality, • Quality Excellence: Team adoption of automated TDD/BDD and code review practices with effective quality gates and measurable quality improvements, • People Development: Autonomous team with strong ownership, positive engagement scores, clear development objectives, low attrition, and active succession planning, • Cross-Functional Impact: Strong collaboration with Product, Design, and Platform teams, supported by positive stakeholder feedback, • Business Alignment: Quarterly OKRs/KPIs achieved or exceeded with clear business impact Benefits & Why Join IRIS Compensation & Benefits: • Competitive salary with leadership premium, • Generous holiday allowance, • Private medical healthcare, • Life assurance - Pension (location dependent) Professional Development: • Executive leadership development programs, • Conference speaking and industry thought leadership opportunities, • Advanced technical and management training, • Mentorship from senior engineering leadership, • Opportunity to shape engineering culture and practices Culture & Environment: • Great Place to Work certified with leadership recognition, • Best Workplaces for Women with inclusive leadership focus, • Autonomous team leadership with strategic impact, • Flexible working arrangements and excellent work-life balance, • Opportunity to build and lead high-performing engineering teams, • Additional benefits: Cycle to Work, charity days, discount schemes

About Client: Our client is the leading collaboration on network and related infrastructure and services for the benefit of research and education, contributing to Europe's economic growth and competitiveness. Its offices are in Amsterdam, NL and Cambridge, UK. Experience Required: 4-8 Years Location: Amsterdam, Netherlands or Cambridge, UK Working Model: Hybrid About The Role In this role, you’ll play a pivotal part in shaping the platforms that support our client's internal operations. You will be the technical owner of our Ivanti Neurons ITSM platform, a system relied upon by teams across the organisation. Your work will help ensure that critical internal processes run smoothly, supporting colleagues who, in turn, support the global research and education community. Some of the key responsibilities for this role: • Lead the configuration, maintenance, and evolution of the Ivanti Neurons ITSM environment, ensuring it remains stable, well‑designed, and aligned with user needs across our client., • Manage Staging → Test → Production deployments through reliable, documented, reproducible processes., • Collaborate closely with Solution Architects, Software Developers, Product Owners, and internal teams to understand business requirements and translate them into Neurons workflows, forms, SLAs, notifications, and integrations., • Provide guidance to teams integrating other systems with Neurons APIs, and advise on scripting using Ivanti Expressions or ECMAScript., • Deliver Level 3 support for the Neurons platform, troubleshooting complex issues and driving improvements to availability, performance, and quality., • Train ITS support engineers on day‑to‑day configuration tasks, contributing to shared understanding and long‑term maintainabilty., • When capacity allows, contribute to broader internal tooling work—primarily in Python—to support and extend our client’s software ecosystem. About You : With your background in Ivanti Neurons, platform configuration, and software engineering, you’ll bring strong technical ownership and a desire to ensure high‑quality, reliable internal systems. Curious, collaborative, and structured, you’re ready to take responsibility for a critical organisational platform while also integrating into a supportive engineering team that values knowledge‑sharing, documentation, and continuous improvement. Key strengths: • Experience configuring, deploying, and maintaining the Ivanti Neurons ITSM Platform, ideally including multi‑stage environments and performance optimisation., • Ability to script special cases using Ivanti Expressions and ECMAScript, and familiarity with API‑driven integrations., • Foundational understanding of Python development, ideally with exposure to packaging tools (pip, setuptools, tox) and CI/CD practices., • Knowledge of web‑based front‑end technologies (e.g., JavaScript, TypeScript, Node.js, React) and how they interact with backend services.Experience with relational databases such as MySQL or PostgreSQL., • Comfort working with Linux environments, version control systems, and standard engineering tooling., • A willingness to explore areas such as federated SSO (SAML 2.0 / OIDC), containerisation (Docker), or additional internal systems as part of your growth.

Solutions Architect – Software United Kingdom | Full-Time | Hybrid/Flexible Working DV or eDV Clearance Required We are seeking an experienced Solutions Architect to join a high-performing technology team delivering secure, scalable, and innovative software solutions within complex cloud and cyber environments. This role is ideal for someone who enjoys solving challenging engineering problems, designing cloud-native architectures, and working closely with technical teams and stakeholders across the full software delivery lifecycle. You will play a key role in architecting secure, high-performing systems, supporting agile delivery teams, and driving modern engineering and DevSecOps best practices. The Role As a Solutions Architect, you will be responsible for designing, developing, and maintaining secure large-scale software solutions. You will collaborate with engineers, technical leads, delivery teams, and customers to translate business requirements into robust technical solutions. This position requires a strong technical background, excellent communication skills, and the ability to guide teams through complex architectural and cloud transformation initiatives. Key Responsibilities • Design and deliver secure, scalable, cloud-native software solutions, • Lead architectural decisions across modern distributed systems and microservices environments, • Support the full software development lifecycle from requirements gathering through to deployment and maintenance, • Collaborate with stakeholders to refine requirements and shape technical solutions, • Guide cloud migration strategies and hybrid-cloud approaches, • Support rapid prototyping and technical investigation activities, • Embed security best practices and DevSecOps principles throughout delivery, • Contribute to CI/CD pipelines, automation, and engineering standards, • Coach and mentor engineers, supporting technical development and best practices, • Promote Agile ways of working and continuous improvement across teams Skills & Experience We are looking for candidates with strong experience across cloud, software engineering, and solution architecture, including expertise in at least three of the following areas: Software Development • Strong programming experience in one or more of:, • Java, • Spring Boot, • Python, • JavaScript / TypeScript, • ReactJS, • Solid understanding of software engineering best practices and SOLID principles Cloud & Architecture • Strong experience with AWS or Azure cloud platforms, • AWS Solutions Architect certification (or equivalent) preferred, • Experience migrating on-premise systems into cloud environments, • Experience designing cloud-native applications and microservice architectures, • Understanding of observability, scalability, and security within distributed systems DevSecOps & Automation • Experience with CI/CD pipelines and automation tooling, • Knowledge of DevSecOps practices including SAST, DAST, and continuous testing, • Experience with tools such as Jenkins and GitHub Actions Containerisation & Testing • Experience with Docker or containerisation technologies, • Strong understanding of automated testing frameworks and BDD approaches including:, • Cypress, • Selenium, • Cucumber, • Behave, • Gherkin Agile Delivery & Leadership • Experience working within Agile delivery environments such as Scrum or Kanban, • Ability to mentor and coach junior engineers, • Strong stakeholder engagement and communication skills

Job Title: DevOps Engineering Intern Location: Remote (UK Region Support) Duration: Internship (3–6 Months) Type: Internship / Training Program About the Role We are seeking motivated and enthusiastic DevOps Engineering Interns who are eager to gain both theoretical understanding and practical industry exposure aligned with UK industry standards. This internship is designed for candidates looking to develop real-world DevOps skills, understand modern cloud infrastructure practices, and work under expert mentorship while contributing to live and simulated projects. Key Responsibilities • Assist in building, deploying, and maintaining cloud-based applications., • Learn and support CI/CD pipeline implementation and automation processes., • Work with containerization and orchestration tools., • Monitor system performance, availability, and reliability., • Support infrastructure provisioning using Infrastructure as Code (IaC)., • Participate in troubleshooting deployment and environment issues., • Collaborate with development and operations teams., • Maintain technical documentation following US professional standards., • Work under mentor supervision on assigned DevOps projects and assignments. Learning Outcomes Interns will gain exposure to: • DevOps lifecycle and best practices, • Continuous Integration & Continuous Deployment (CI/CD), • Cloud platforms (AWS / Azure / GCP fundamentals), • Docker & Kubernetes fundamentals, • Linux system administration, • Version control using Git, • Infrastructure Automation & Monitoring Tools, • Agile and collaborative workflows used in the UK technology sector Required Skills & Qualifications • Pursuing or completed degree in:, • Computer Science, • Information Technology, • Software Engineering, • Related technical field, • Basic understanding of:, • Linux commands, • Networking fundamentals, • Programming or scripting (Python/Bash preferred), • Familiarity with Git or version control concepts, • Strong willingness to learn DevOps practices, • Good analytical and problem-solving skills, • Effective communication skills Preferred Skills (Not Mandatory) • Basic knowledge of cloud platforms (AWS/Azure/GCP), • Exposure to Docker or CI/CD concepts, • Understanding of Agile methodologies Internship Benefits • Hands-on practical DevOps training aligned with US industry practices, • Mentorship from experienced DevOps professionals, • Real-world project exposure, • Remote working environment, • Performance evaluation and feedback sessions, • Training Certificate and Internship Completion Certificate, • Opportunity to strengthen professional portfolio and LinkedIn profile Who Should Apply • Students and fresh graduates seeking DevOps career exposure, • Candidates transitioning into Cloud/DevOps roles, • Individuals looking to gain UK-region aligned technical experience, • Seniority Level, • Not Applicable, • Industry, • Education, • Employment Type, • Internship, • Job Functions, • Engineering, • Skills, • Networking, • Software Development, • Test Automation, • Training, • DevOps, • Cloud Computing, • Amazon Web Services (AWS), • Engineering, • Google Cloud Platfo

AI Technical Lead Location: London / South West UK (Hybrid) Salary: £140,000 - £170,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We partner with innovative start-ups, scale-ups and enterprise organisations that are transforming the way businesses operate through artificial intelligence, automation and modern software engineering. Our focus is simple: connecting the right people with the right opportunities to drive sustainable business growth. The Opportunity We are supporting a pioneering organisation that is building next-generation AI capabilities and looking for an experienced AI Technical Lead to drive the design, development and deployment of enterprise-scale AI solutions. This is a hands-on leadership role where you will shape technical strategy, influence architecture decisions and lead the delivery of cutting-edge AI products from concept through to production. You will work closely with executive stakeholders, product teams, engineers and data specialists to build scalable, secure and responsible AI systems that create measurable business impact. The successful candidate will combine strong software engineering foundations with deep expertise in machine learning, Generative AI, cloud technologies and modern AI infrastructure. What You'll Be Doing • Leading the technical direction of AI and Machine Learning initiatives across multiple business functions, • Designing, developing and deploying production-grade AI solutions, • Building and optimising Large Language Model (LLM) applications, RAG architectures and Agentic AI systems, • Developing speech-to-text, voice AI and accessibility-focused AI solutions, • Creating intelligent conversational experiences using modern AI frameworks, • Architecting scalable cloud-native AI platforms within AWS environments, • Building and maintaining robust MLOps pipelines and model governance frameworks, • Working closely with product and business stakeholders to translate requirements into technical solutions, • Leading technical discovery workshops and AI strategy discussions, • Ensuring AI solutions are secure, compliant and aligned with responsible AI principles, • Mentoring AI Engineers, Machine Learning Engineers and Data Scientists, • Driving engineering best practice including CI/CD, testing, monitoring and observabilityTechnical Experience RequiredArtificial Intelligence & Machine Learning, • Strong commercial experience designing, training, evaluating and deploying Machine Learning models, • Experience with Generative AI and Large Language Models, • Building Retrieval Augmented Generation (RAG) platforms, • Agentic AI and autonomous workflow development, • NLP, speech recognition and conversational AI solutions, • Fine-tuning and optimisation of AI models, • Model evaluation, monitoring and governanceTechnologies, • Python (essential), • PyTorch, • TensorFlow, • Scikit-Learn, • LangChain, • LangGraph, • Hugging Face, • Vector Databases (Pinecone, Weaviate, ChromaDB or similar), • FastAPI, • REST APIsCloud & Infrastructure, • AWS (essential), • Bedrock, • SageMaker, • Lambda, • ECS / EKS, • API Gateway, • DynamoDB, • S3, • CloudFormation or TerraformData & Engineering, • SQL and NoSQL databases, • Data Warehousing and Data Lake architectures, • ETL and Data Pipeline development, • Git, • CI/CD, • Docker, • Kubernetes, • Monitoring and Observability platformsLeadership Experience You will ideally have experience: • Leading AI, Machine Learning or Software Engineering teams, • Making architectural and technical decisions within enterprise environments, • Engaging with senior stakeholders and executive leadership teams, • Defining engineering standards and governance processes, • Mentoring and developing high-performing technical teams, • Delivering complex AI programmes from concept to productionNice to Have, • Experience developing Voice AI platforms, • Accessibility-focused AI solutions, • Experience with multimodal AI models, • Knowledge of Responsible AI frameworks, • Exposure to healthcare, fintech, retail or enterprise SaaS environments, • Experience building customer-facing AI products at scaleEducation, • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related discipline, • Equivalent commercial experience will also be consideredWhy Apply? This is an opportunity to join a business making significant investment in AI innovation and enterprise transformation. You will have the autonomy to influence strategy, shape technical direction and build AI solutions that deliver real-world impact while working alongside some of the brightest minds in the industry. If you're passionate about Generative AI, cloud-native architecture, voice technologies and leading high-performing engineering teams, we'd love to hear from you. To apply or find out more, contact: 📧 harshil@167solutions.com 🌐 167Solutions.com 167 Solutions – Connecting exceptional AI talent with exceptional opportunities.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

DevOps Engineer Global Payments Technology | High-Growth Environment Location: Remote Salary: Up to £55,000 base Visa Sponsorship: Not available Are you a DevOps engineer who thrives building the infrastructure that lets great software ship fast, safely, and reliably? Do you want to own meaningful CI/CD transformation work in a payments business that genuinely values engineering excellence? We're working with a rapidly scaling global payments organisation that is building out a dedicated DevOps function from the ground up. This is a rare opportunity to join early, influence the culture, and leave a real mark on how a complex, high-throughput technology estate is built and operated. The Opportunity: You'll be a key technical contributor in establishing a world-class CI/CD capability across on-premise and multi-cloud environments. The role touches everything from pipeline architecture and infrastructure-as-code to security gates, release automation, and cross-team enablement. You'll work closely with software teams to instil DevOps principles and drive a push-button deployment culture. This role is based on greenfield DevOps transformation, with the autonomy to make the right calls. What Makes It Interesting: • Build and shape a CI/CD platform from the ground up - real ownership, not inherited tech debt, • Work across a polyglot engineering environment (.NET, Java) and multi-cloud infrastructure, • Drive automation that directly reduces risk in a regulated payments environment, • Collaborative culture that values outcomes, initiative, and engineering craft over process, • Real scope to grow as the DevOps function scales What You'll Be Doing: • Design, build, and maintain reusable CI/CD pipelines with built-in quality and security gates, • Drive automation that eliminates manual build, test, and deployment steps, • Define and implement IaC strategies using Terraform and Ansible, • Partner with engineering teams to embed DevOps principles and toolchain standards, • Ensure platform security through best-in-class secrets management and cloud security controls, • Monitor and improve platform reliability using delivery metrics (deployment frequency, MTTR, change failure rate), • Evaluate new tooling and provide technical guidance on architecture and process improvements What We're Looking For: • 3–5 years of hands-on CI/CD and DevOps experience, • Strong experience with GitHub Actions, Azure DevOps, or Jenkins, • Solid Terraform and Ansible skills for infrastructure and configuration as code, • Cloud experience across one or more of AWS, Azure, or GCP, • Understanding of containerisation (Docker), secrets management, and pipeline security practices, • Scripting in Python, JavaScript, or similar, • Strong understanding of networking, SSL, VPN, and certificate lifecycle management, • Linux and Windows OS experience Advantageous: • Experience across two or more of AWS, Azure, and OCI, • GitHub Enterprise and GitHub Actions expertise, • Cloudflare configuration and management, • Familiarity with Artifactory, Cloudsmith, or similar package management tools, • Exposure to .NET and Java technology stacks This role will suit someone who is comfortable operating at the intersection of engineering and operations - someone who enjoys enabling developer velocity as much as they enjoy solving infrastructure problems. You're proactive, comfortable with ambiguity, and take pride in automation that just works. Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

Applied AI Scientist | Agents | Up to £120,000 | United Kingdom (Remote) We’re supporting a fast-growing UK technology scale-up that is hiring an Applied AI Scientist to join a highly capable technical team. This is a role for someone who enjoys working at the intersection of machine learning research, software engineering and applied problem solving. You’ll be taking complex AI/ML concepts and turning them into reliable, scalable systems that can be used in demanding real-world settings. It’s a strong fit for someone who wants more than pure research, but still wants the technical depth, mathematical challenge and freedom to explore modern AI approaches. The role As an Applied AI Scientist, you’ll work in a hands-on, delivery-focused engineering environment where you’ll help design, build and improve advanced AI capabilities. You’ll be involved across the full lifecycle, from understanding complex requirements and exploring suitable approaches, through to model development, system integration, optimisation and deployment. This is a practical, highly technical role where strong Python engineering, mathematical rigour and modern AI/ML knowledge are all important. What you’ll be doing You’ll be working on areas such as: • Translating AI/ML research into robust, production-ready solutions, • Designing and implementing machine learning models for complex applied problems, • Building and integrating modern AI systems using techniques such as RAG, LLMs, embeddings, vector search and multi-agent architectures, • Writing clean, performant Python code for production environments, • Working closely with engineering teams to improve architecture, reliability and scalability, • Collaborating with stakeholders to turn ambiguous or complex problems into delivered technical solutions, • Contributing to technical direction, best practice and knowledge sharing across the team What we’re looking for You’ll likely bring: • A strong academic background in a quantitative discipline such as Physics, Applied Mathematics, Statistics, Computer Science or similar, • Excellent Python skills for AI/ML development, • Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similar, • Strong mathematical and statistical foundations, • Experience developing ML models or AI systems beyond experimentation, • An ability to work across research, engineering and product-style delivery, • A pragmatic mindset and comfort working in a fast-paced scale-up environment It would be helpful if you also have experience with: • RAG, LLMs, embeddings, vector databases or agent-based systems, • MLOps tools such as MLflow, Kubeflow or similar, • Docker, Kubernetes or containerised deployment environments, • Simulation, optimisation, decision-support or modelling techniques, • Secure development practices, • Working with complex, regulated or high-reliability systems You’ll need to be UK-based, open to occasional travel, and willing to go through standard background/security checks if required. Why consider it? This is an opportunity to join a scaling technology company at an exciting stage of growth, working with a strong technical team on challenging AI problems. The package includes: • Competitive salary and benefits, • Remote UK working, • Access to modern AI tools and infrastructure, • A high-trust culture focused on delivery rather than bureaucracy, • Regular company-wide Fridays off and early Friday finishes, • Around 20 additional days’ worth of time back each year through company days off.

Senior Backend Engineer | Senior Software Engineer | Python | Remote UK 💰 £90,000 - £110,000 🏠 Fully Remote (UK) 💻 Python, Flask, AWS, PostgreSQL, Docker 🚀 High-growth consumer platform scaling rapidly We’re partnered with a high-growth consumer tech platform looking to hire a Senior Backend Engineer into a fast-moving product engineering team. The business has already scaled to hundreds of thousands of users and is continuing to grow quickly, with engineering at the centre of that growth. They’re building modern, real-time user experiences with a strong emphasis on speed, product quality, and continuous improvement. This role sits within a backend-focused team responsible for powering core customer experiences across web and mobile platforms. You’ll be building APIs, backend services, and scalable systems within an environment that ships to production daily. The stack is primarily Python on AWS, using technologies including Flask, PostgreSQL, Docker, Terraform, and cloud-native infrastructure. Strong backend engineering fundamentals are more important than exact stack match. What they’re looking for: • Strong backend engineering experience with Python, • Experience building and maintaining APIs, • Good understanding of scalable systems and backend architecture, • Cloud experience (AWS ideally), • Product-minded engineers who enjoy ownership and moving quickly, • Comfortable operating in fast-paced environments Why it’s interesting: • Fully remote engineering team, • High ownership environment with real product impact, • Modern backend/cloud infrastructure, • Strong engineering culture with continuous deployment, • Consumer product used at significant scale If you’d be interested in hearing more, feel free to reach out directly. Senior Backend Engineer | Python Engineer | Backend Developer | Remote UK

!! IMMEDIATE JOINERS !! Java Software Developer Location: London Work Mode: On-site Job Type: Full-time The Role We are looking for a Java Full Stack Developer who A Java Developer (2-5 years experience) designs, codes, tests, and maintains scalable Java applications, collaborating with teams, debugging issues, and using frameworks like Spring/Hibernate, focusing on clean, efficient, object-oriented code, participating in the full SDLC. You will be a key player in our agile squad, responsible for the end-to-end delivery of scalable web applications. What You’ll Do (Responsibilities) • End-to-End Development: Design and develop high-volume, low-latency applications for mission-critical systems., • Back-End Excellence: Write clean, maintainable code using Java and the Spring Boot ecosystem., • Front-End Innovation: Build responsive, user-friendly UI components using React, Angular, or Vue.js., • Database Management: Design and optimize schemas for relational (PostgreSQL/MySQL) and NoSQL databases., • API Design: Build and consume secure RESTful APIs to integrate with internal and third-party services., • Collaboration: Participate in code reviews, sprint planning, and daily stand-ups to ensure high-quality software delivery., • Strong understanding of Object-Oriented Programming (OOP) principles. What We’re Looking For (Requirements) • Experience: [Number] years of professional experience in Java-based software development., • Java Knowledge: Hands on experience of Core Java, Multithreading, and Spring Framework (Boot, Security, Data JPA)., • Modern Web Stack: Proficiency in HTML5, CSS3, and JavaScript/TypeScript., • Cloud & DevOps: Familiarity with AWS, Azure, or GCP and containerization tools like Docker/Kubernetes., • Tools: Expert knowledge of Git, Maven/Gradle, and CI/CD pipelines (Jenkins/GitLab CI). Nice-to-Haves • Experience with Microservices architecture., • Knowledge of Kafka or RabbitMQ., • Relevant AWS or Java certifications.

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Ensure solutions align with Ema's agentic architecture and platform capabilities Hands-On Engineering • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments Feasibility Judgment & Agentic Workflow Translation • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Anticipate where AI implementations break: integrations, data quality, scale, edge cases Customer Leadership (Post-Sales) • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Communicate progress, risks, and decisions clearly across technical and executive audiences Production Readiness & Stabilization • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Stabilize systems post go-live under real pressure Cross-Functional Collaboration • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Opportunity This is an opportunity to join IRIS Software Group as we transform into an AI-first company delivering cloud-native solutions that impact millions of lives globally. IRIS produces an integrated suite of mission-critical software applications spanning accountancy, HR, payroll, education, and business operations. You will be working as part of an Agile team to deliver innovative solutions to user stories and requirements, contributing to our modernisation journey that serves over 100,000 customers across 135 countries. The role is challenging and dynamic, with key deadlines to be met as we accelerate our cloud transformation and implement next-generation technologies. You’ll need to embrace continuous learning and bring a focused attitude to tasks that directly enable businesses, schools, and organisations to work smarter and more efficiently. You will be involved in a variety of cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed to creating exceptional solutions that make a real difference in how our customers operate and succeed. Role Purpose As a Senior Software Engineer, you will be a technical leader within your team, responsible for delivering complex full-stack web applications, serving millions of users, driving technical excellence, and mentoring other engineers. You'll be expected to bring commercial awareness to every technical decision, understanding that the best solution is the one that delivers value to customers and the business, not just the most elegant one. You will work hands-on with cutting-edge UI frameworks, .NET Core backends, and cloud-native technologies while contributing to architectural decisions and ensuring high-quality software delivery across containerised, scalable web products. Key Responsibilities Technical Delivery • Design and deliver complex, scalable systems (multi-service integrations, high-traffic APIs, data processing pipelines) that anticipate edge cases, scalability issues, and long-term maintainability, • Own large features or entire components across their complete lifecycle from conception to production support, • Make commercially aware technical decisions by weighing engineering trade-offs in the context of business commitments, delivery timelines, and customer impact, not just technical purity, • Lead technical discussions and influence architecture decisions within team systems and components, with authority over component-level technical choices and escalation path to Engineering Lead for cross-team impacts, • Drive technical excellence by establishing architectural patterns, standards, and best practices that others can follow, • Ensure knowledge transfer and documentation for owned systems to enable team continuity Collaboration & Communication • Lead with AI-first practices by actively drive AI-led ways of working within the team, using tools such as Cursor, Copilot, and Claude Code as a core part of how you design, build, and ship, while bringing others along on that journey, • Lead story refinement sessions with Product Owners, providing technical expertise for estimation and risk assessment, • Partner with cross-functional teams (product, design, QA) to deliver comprehensive solutions that meet business objectives, • Influence technology choices based on deep technical understanding and business context, • Lead team Agile ceremony facilitation to drive continuous process improvements, and establish team practices that enhance delivery predictability, • Proactively identify and inspire resolution of technical debt and system improvements Quality & Standards • Champion comprehensive quality practices including TDD/BDD standards, automated testing strategies, and shift-left testing, • Lead security implementation across complex features establish security practices and conduct comprehensive security reviews, • Establish development tooling and practices used consistently within the team, • Lead troubleshooting efforts for complex software issues and production incidents, • Establish documentation standards for complex team systems and drive knowledge transfer practices across team deliverables Growth & Development • Mentor junior and mid-level engineers actively to raise team capability and technical standards, • Lead team code review standards establishment conduct complex feature reviews, and drive quality improvements across team deliverables, • Drive continuous improvement and champion responsible AI adoption with team governance practices Required Experience & Skills Technical Skills • Frontend Development: Strong proficiency with modern UI frameworks (e.g. Angular, React, Vue.js, Blazor) including performance optimisation and component architecture OR working knowledge with focus on backend specialisation, • Backend Development: Strong proficiency with .NET Core, C#, ASP.NET Core Web APIs, REST, application architectures, and distributed systems, • Database Systems and Data Architecture: Strong knowledge of SQL, NoSQL and data architecture decisions., • AI-Assisted Software Engineering: Actively engaged in AI-first ways of working by showing a genuine shift in how you approach design, development, and problem-solving with AI as a core part of the workflow, not just a productivity add-on., • Experienced integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) into engineering practices to accelerate design, development, testing and debugging, using them critically and responsibly to improve quality, productivity and decision-making., • Observability: Advanced DataDog, Application Insights or Amazon CloudWatch implementation with performance tuning and cost optimisation, • Infrastructure as Code: Infrastructure as Code with either Terraform, Bicep, ARM Templates or AWS CloudFormation/CDK, • CI/CD Design: Design comprehensive CI/CD architectures for team deliverables, establish deployment strategies, and optimise pipeline performance for team efficiency, • Cloud Architecture: Strong proficiency in SaaS using Azure (Functions, Queue, Blob Storage, VMs, etc) or AWS (Lambda, SQS/SNS, EC2, etc.) services, infrastructure design, and performance tuning, • Container Orchestration: Strong containerisation (e.g. Docker) or Kubernetes (AKS/EKS) experience with production-scale deployments, • Architecture Expertise: Expertise in clean architecture principles, SOLID design patterns, and domain-driven design, • Quality & Testing: Drive TDD/BDD adoption in team testing strategy and quality governance, and implement comprehensive automated testing with continuous improvement, • Scalable Solutions: Experience with highly scalable solutions and internet-facing traffic levels, • Performance & Scalability: Profiling and benchmarking applications., • Application Security: Confident vulnerability management, thread modelling and tracking, • Production Support: Knowledge of observability and production support practices. Proficient in debugging complex issues, performance optimization, and production troubleshooting Experience Requirements • 5-7 years of professional software development experience, • Proven ability in delivering complex, multi-system solutions, • Experience working with highly scalable, internet-facing solutions serving millions of users, • Demonstrated technical leadership through architecture decisions, technical mentoring, and cross-team collaboration, • Track record of driving technical excellence, establishing standards, and influencing technology choices, • Active mentoring experience with junior and mid-level engineers, • Experience leading technical initiatives that span multiple sprints or quarters Soft Skills • Commercially aware and outcome-oriented — understands that engineering decisions exist within a business context, and prioritises delivery and customer value over technical perfection, • Demonstrates resilience and adaptability in the face of changing priorities or commercial commitments — able to pivot without losing quality or motivation, • Strong analysis and problem-solving skills for troubleshooting technical issues, • Excellent verbal and written communication skills with ability to explain technical concepts to non-technical stakeholders, • Technical leadership and influencing skills without formal authority, • Ability to utilise technical skills to develop and coach others through mentoring and knowledge sharing, • Collaborative approach and ability to work as part of wider Engineering, Platform and Quality teams, • Conflict resolution skills for technical disagreements and cross-team coordination, • Genuinely curious and AI-forward by continuously evolving how you work, with AI tooling as a natural part of your day-to-day, not an afterthought Desirable Skills • Experience working with regulated or complex domains (finance, health, govtech) with audit requirements, • Experience designing high-quality AI interactions through effective prompt engineering, efficient token usage, and optimisation techniques, combined with practical use of the Model Context Protocol (MCP) to integrate AI systems with tools and services for richer, automated workflows, • Expertise with advanced monitoring and APM strategies using Datadog, including custom dashboards and alerting (or similar observability platform), • Expertise with modern UI architecture patterns (micro-frontends, SSR/SSG), • Knowledge of security best practices and compliance requirements (OAuth2, OIDC, RBAC), • Experience with event-driven architectures, • Exposure to DevOps processes and automation ensuring end-to-end responsibility of features, • Advanced cloud certifications in Azure or AWS

Senior Software Engineer Tech Stack: C#, .NET, Microservices, Docker, Kubernetes, AWS/ Azure United Kingdom Full Remote: Perm Role Salary: £85,000 - £110,000 Harrington Starr has partnered with an innovative start up FinTech who specialise in providing market access and data from their ultra low-latency platform to financial service firms, leading exchanges and single dealers across digital assets, FIX and more. They are looking to hire a Senior C#, .NET Engineer with strong experience in start-up/ scale up firms, able to take ownership of developing new applications, adding features to existing systems and contributing to the growth and success of the companies core products. Key Requirements: • Extensive C#, .NET development experience (5+ years), • Strong experience developing highly scalable, low-latency applications, • Good hands on development experience with cloud based, microservice architecture (Docker, Kubernetes), • Extensive experience with TDD and Event Driven Development., • Independent self starter, confident with taking ownership of developing greenfield applications, • Strong collaborator and communicator, • 2:1 in BSc Computer Science or related Mathematics based degree Key Benefits: • Excellent base salary up to £110,000 based on experience, • Fully remote working model, • Involvement with a very exciting FinTech with huge plans for growth and opportunities to build greenfield applications and add features to their existing products, • Interaction with key internal stakeholders (C-Suite) If you would like to book in a confidential phone call to discuss this opportunity in further detail, please apply below or send through a copy of your up-to-date CV via email to ollie.bluck@harringtonstarr.com.

SC Cleared Consultant Required • 3-month contract initially, with the possibility of 12 months extension Essential Skills • Strong expertise in Python development and simulation modelling, including experience with SimPy or other Discrete Event Simulation (DES) frameworks., • Ability to deliver solutions quickly and effectively using AI-assisted development tools, including Claude Code and similar coding workflows., • Proven experience developing robust, scalable, and deployable Python applications., • Hands-on experience with Streamlit or similar frameworks for building web-based user interfaces., • Experience packaging and deploying applications using Docker.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

The Oracle Cloud Infrastructure (OCI) team builds and operates massive-scale, integrated cloud services in a distributed, multi-tenant cloud environment. OCI is committed to providing the best cloud products that meet the needs of our customers, who are tackling some of the world's biggest challenges. We are looking for a Senior Software Development Engineer to help us build high-performance API services that secure and protect API traffic at OCI. As an ideal candidate, you will have knowledge of large-scale services in a distributed cloud environment. In addition, you will have an understanding of Linux fundamentals and will combine this knowledge with your hands-on experience in software development. You will champion creating an engineering environment that embodies the best development and testing practices for delivering secure, scalable, and highly available services. You should work comfortably in a collaborative, remote, and agile environment, and be excited to learn. We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems. Our engineers have a significant technical and business impact by designing and building innovative new systems to power our customers' business-critical applications. Job Responsibilities • Work with OCI product leaders and service teams to translate business requirements into technical specifications., • Design, develop and troubleshoot scalable, operationally focused, customer-facing cloud services., • Automate common tasks to enable continuous delivery and ensure continuous availability with minimal human overhead., • Drive performant, scalable, and forward-thinking solutions to completion on time., • Maintain both development and production infrastructure as part of a customer-focused engineering culture with operational excellence., • Provide technical guidance and constructive feedback to leadership, team members, and other stakeholders., • Contribute to product roadmaps by identifying areas of need and engaging with stakeholders to scope work., • Mentor and coach junior members in the team., • Raise the bar for engineering quality and best practices. Qualifications • 4+ years of experience in the software industry working on architecture, system and software design, development and delivery of highly scalable products and services., • Bachelor's degree or Masters in Computer Science or equivalent education., • In-depth understanding of the entire product development lifecycle including writing technical specification, assisting to make product impacting decisions, designing world-class services, developing and reviewing code, driving DevOps, leading releases and operations., • Ability to identify opportunities for innovation, aim to be on top of tech-debt, plan for continuous improvements in technology and operations and maintain a solid security posture., • Strong verbal and written communication, organization, and interpersonal skills., • Comfort with complex, rapidly evolving software development environments. Ability to learn new technologies quickly., • Strong back-end development experience in Java or other similar modern programming language., • Strong experience in microservice-based architecture, distributed systems, SQL and NoSQL databases, REST APIs and Cloud technologies., • Good grip over CI/CD process and tools such as GitLab, JIRA, Kubernetes, Docker, Terraform, etc., • Previous experience with system monitoring, automation and incident management tools is preferable.

Moodsonic uses sound to improve how indoor spaces feel. Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience. The role We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place. As Moodsonic scales, you will keep the platform safe, reliable, and defensible. You are joining a team where colleagues hold deep domain knowledge. You will need to build trust, collaborate well, and lead through influence rather than authority. This is not a management role. The platform is live and growing quickly, with real customers and real consequences. What you'll work on In your first six to twelve months: • Own and evolve the backend platform: services, data layer, infrastructure, APIs. Strengthen what is in production today, design what is missing, and build what comes next, • Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning. Visibility and input into on-device code decisions, because device security is platform security, • Own the identity, authentication, and account layer of the platform, • Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery, • Own the partner-facing integration APIs end to end, from design through operation. These are the surfaces our customers and hardware partners build against, and their reliability is our reputation, • Own the engineering practices that support our certifications and audit-readiness, • Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by, • Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on What we are looking for Required: • 5+ years shipping and operating production backend systems, including time on-call and in incident response. You know what it feels like when something breaks at 2am and you own the fix, • Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality, • Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer, or security needs and turn them into practical technical plans without a big PM or architecture layer handing you a spec, • Deep relational data modeling and schema design. Postgres or equivalent as a daily tool. Strong instincts for migrations, indexing, and query performance under load, • API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline, • Identity and authentication systems experience: modern identity protocols (OAuth or similar), session management, role-based access, multi-tenant boundaries. You understand what breaks when these are wrong, • Security mindset in practice, not theory. You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals, • Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it, • Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices, • Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs, • Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you, • Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them. Intellectual honesty and the willingness to push back when the right answer is unpopular, • Clear written and verbal communication, particularly when working asynchronously across time zones Valued: • Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion, • Shipping to enterprise customers, incident response commitments, and contractual security obligations, • Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default, • Kubernetes and modern container orchestration, • Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work, • Audio, signal processing, or real-time systems background, • AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: • Interest in sound, music, acoustics, or the wellbeing applications of audio Team and how we work You will join a small, senior team distributed across the UK, Europe, and the US West Coast. We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones. Compensation and benefits Base salary £65,000 to £85,000, calibrated to experience. Equity will be a material part of the package. Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. UK right to work is required. How to apply Send a short note, your CV, and links to work you are proud of. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.

Job Title: Java Developer (SC Cleared) Contract: Inside IR35 Setup: Remote (Hybrid initially for travel required during knowledge transfer for 1st 3 months across different locations in England – on-call work may be required later in the contract as well) Security Clearance: Must be holding active, unelapsed SC clearance Interview Process: 1 Stage, MS Teams We are supporting a large, mission-critical public-sector team in expanding their java development operations, to maintain and evolve a complex legacy technology environment. This role suits Java developers who are comfortable providing L3 support in regulated environments. Key Responsibilities • Support and maintain Java-based legacy applications within a critical national system, • Provide L3 support, troubleshooting issues and resolving incidents across application components, • Develop, test and maintain Java and PL/SQL applications, scripts and supporting services, • Refactor existing code and contribute to automated test coverage, • Work with Oracle WebLogic, JDBC / ODBC integrations and stored procedures, • Support Elasticsearch components used within the application estate, • Collaborate with Support, Platform and DBA teams to resolve issues and deliver changes, • Maintain technical documentation, follow coding standards and contribute to peer reviews, • Escalate complex issues to senior engineers while supporting technical decision-making, • Participate in knowledge transfer, operational support and future on-call rota where required Essential Technical Skills • A minimum of 2 years’ professional experience in Java & related technologies (preferably with Java SE 11+ or EJB/JSP), • Experience in supporting legacy applications, • Experience refactoring & developing automated tests, • Experience in basic integration work with auditing & protective monitoring services Technologies: • Spring/Spring Boot, • Oracle Weblogic, • Oracle PL/SQL, • ODBC/JDBC, • Elasticsearch, • Java Desirable Skills • ETL, • Cloud Platforms, • Git, • Jenkins, • Nginx, • Apache HTTP/Tomcat, • Docker, • IBM Initiate (MDM)

Do you want to design security architectures that protect services used by millions of people every day? As a Senior Security Architect in DWP Digital, you'll join our Corporate Centre Services function, working at the heart of complex, large-scale digital systems. You'll play a key role in securing critical platforms, including identity and trust services that enable safe, secure access to government services for citizens and colleagues. You'll operate across a complex enterprise landscape, shaping secure-by-design architectures for modern cloud-native services. Working closely with architects, engineers and senior stakeholders, you'll lead on threat mitigation, guide security decisions and ensure robust, resilient solutions are embedded from the outset. This is a high-impact role where your work will directly influence the security framework of one of the UK's most critical public service organisations. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? • Designing secure architectures for large, complex organisations, making sure security is built in from the start, • Securing modern applications and cloud platforms, including tools like Kubernetes, Docker and CI/CD pipelines, • Working across enterprise-level systems and aligning designs with wider technology strategies and roadmaps<...

Full Stack Java Developer (Enterprise Web & Business Systems) | Remote | £50,000 + 12% Bonus + £5,000 Car / Car Allowance My client is seeking a Java Developer to join their growing Digital team, working on enterprise‑grade web and business applications that support core internal operations and customer‑facing systems. This role is part of a wider digital transformation programme, modernising long‑standing platforms while continuing to deliver new web and mobile solutions across the business. What you’ll need Commercial experience as Developer (typically 2+ years) using Java, ideally Jakarta EE but not essential. Experience working on enterprise or business‑critical applications Good understanding of SQL and relational databases Experience building or supporting web applications backed by Java services Ideally Frontend experience using TypeScript / Angular, but not essential Strongly preferred Experience with Jakarta EE / Java EE technologies (e.g. JAX‑RS, JPA, CDI, EJB) Experience working with application servers such as WildFly, Payara, WebLogic, WebSphere or TomEE Experience working in Linux‑based environmentsNice to have Experience with Typescript and Angular Exposure to containers or modern deployment platforms (Docker / Podman / Kubernetes)The role You’ll work across the full development lifecycle — from understanding bu...

DevOps & Infrastructure Engineer - Detailed Job Description Role Overview An opportunity for a DevOps & Infrastructure Engineer to play a key role in delivering and supporting mission-critical systems within a highly automated environment. You will take ownership of the infrastructure layer, ensuring systems are secure, scalable, resilient, and fully aligned to customer and project requirements. This role blends hands-on engineering with architectural design, working across the full lifecycle-from initial solution design through to deployment, monitoring, and ongoing optimisation. You will collaborate closely with software engineers, delivery teams, support functions, and customer IT stakeholders. Key Responsibilities Infrastructure Architecture & Design Design end-to-end infrastructure solutions across on-premise, hybrid, and cloud environments Define compute, storage, networking, virtualisation, and disaster recovery architectures Produce technical documentation including solution designs, network diagrams, and sizing specifications Align infrastructure designs with customer IT policies, security standards, and operational constraints DevOps & Deployment Own and optimise CI/CD pipelines to support consistent, automated software delivery Manage build, release, and deployment processes across development, staging, and production environments Implement Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or equivalent Drive best practices for environment consistency, configuration management, and release governance Cyber Security & Compliance Ensure infrastructure is secure by design, incorporating system hardening and access controls Manage vulnerability remediation, patching strategies, and security updates Embed security within the software delivery lifecycle (DevSecOps principles) Support audits and ensure compliance with recognised frameworks (e.g., ISO 27001, Cyber Essentials) Lead incident response and root cause analysis for security and infrastructure-related events Monitoring, Reliability & Support Implement monitoring, alerting, and observability across infrastructure and applications Define SLAs/SLOs and ensure systems meet availability and performance requirements Provide 3rd line support and escalation for complex infrastructure issues Conduct capacity planning, performance tuning, and reliability improvements Lifecycle & Maintenance Manage patching cycles across operating systems, databases, and middleware Maintain infrastructure inventory, documentation, and lifecycle roadmaps Develop disaster recovery plans and operational runbooks Ensure systems remain supportable, secure, and up to date throughout their lifecycle Skills & Experience Essential Strong experience in DevOps, Infrastructure, or Site Reliability Engineering roles Expertise in Linux and Windows Server administration Hands-on experience with CI/CD tools (e.g., Azure DevOps, GitHub Actions) and version control (Git) Experience with Infrastructure as Code (Terraform, Ansible or similar) Scripting/automation skills (PowerShell, Python, Bash) Knowledge of virtualisation technologies (VMware, Hyper-V) Understanding of networking concepts (VLANs, firewalls, VPNs) and enterprise storage Experience with databases and messaging systems (PostgreSQL, RabbitMQ) Exposure to monitoring and observability tools (e.g., Prometheus, Grafana) Strong understanding of cyber security best practices, patching, and vulnerability management Ability to produce clear technical documentation and communicate with both technical and non-technical stakeholders Desirable Experience working in industrial, manufacturing, or logistics environments Knowledge of warehouse or automation systems and integrations (ERP, WMS, PLC/SCADA) Cloud experience (Azure) and containerisation (Docker, Kubernetes) Familiarity with ITIL processes (incident, change, problem management) Relevant certifications (e.g., VMware, Security+, CISSP, Terraform) Personal Attributes Strong ownership and accountability for delivering robust infrastructure solutions Pragmatic problem-solver with the ability to balance technical excellence and delivery timelines Effective communicator able to bridge software, infrastructure, and customer stakeholders Comfortable working in a project-driven, customer-facing environment Flexible approach with occasional travel and out-of-hours support for deployments Summary This role offers the opportunity to work on complex, high-availability systems where infrastructure is critical to operational success. You will play a central role in shaping DevOps practices, improving system reliability, and delivering high-quality solutions across a range of technically challenging environments. To find out more about Computer Futures please visit Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Are you ready to build modern, cloud-first systems that replace legacy services and shape the future of how government manages billions in public money? As a Senior Software Engineer in DWP Digital, you'll join one of our Debt Solutions teams, helping to deliver large-scale, greenfield transformation programmes. These teams are responsible for replacing long-standing, high-risk legacy debt systems with modern and resilient digital platforms that will serve the UK for the next decade and beyond. You'll play a critical role in designing and building scalable, secure services using technologies like Java (21+), Azure, Kubernetes and modern integration platforms. Working in a highly collaborative, agile environment, you'll partner with engineers, architects and product teams to deliver systems that recover approximately £3 billion each year. This is a rare opportunity to help shape an evolving engineering capability and leave a lasting impact on critical national services. What skills, knowledge and experience will you need? Strong hands-on experience building software with Java (ideally Java 21+) in a cloud-based environment such as Azure Experience leading engineering teams, setting technical direction, and supporting less experienced engineers to grow and improve Experience working in agile teams to build digital services, collaborating with product managers, delivery managers and other specialists Strong knowledge of cloud platforms (like Azure, AWS or GCP), containers (Docker, Kubernetes), and modern development pipelines with automated testing Ability to design systems that are reliable, scalable and easy to maintain, and contributing to technical and architectural decisions Experience building secure and resilient services, making sure they meet standards for security, performance and accessibility You and your role As a Senior Software Engineer in our Debt Solutions teams, you'll be at the heart of a major transformation programme, replacing long-standing legacy systems with modern, cloud-native services. You'll contribute to greenfield engineering initiatives, helping to design and build entirely new systems from the ground up. This includes modern debt management and compensation recovery platforms as well as user interfaces, APIs and integration services that work seamlessly across the wider DWP ecosystem. Your decisions will influence how these systems are shaped, ensuring they are scalable, secure and fit for the future. Working in an environment that is transitioning to a more permanent, sustainable engineering capability, you'll play a key role in embedding best practices, improving code quality and strengthening long-term ownership of our platforms. You'll help move teams from delivery-focused beginnings into mature, high-performing engineering environments. Beyond building services, you'll drive improvements across the full software lifecycle - from modernising applications and migrating services into Azure, to ensuring operational stability through strong engineering practices. You'll work closely with architects and senior stakeholders to align solutions with long-term strategy while also supporting live services that underpin critical business functions. This role would suit someone who enjoys building new things, shaping technical direction and working on complex systems at scale. If you're motivated by solving meaningful problems and enjoy working in modern cloud environments, this is a role where you can make a genuine and lasting impact. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Birmingham, Blackpool, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay up to £80,664. That's £68,205 salary plus a Digital Allowance of up to £12,459 subject to our assessment of your capability at interview Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £16,786 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Coding test: performed remotely Interview: a single stage interview online. Click APPLY for more information and to start your application. TPBN1_UKTJ

Senior QA Automation / SDET Engineer (SC + NPPV3 Cleared) Birmingham 6 Month Contract £400-£450/day (Outside IR35) Hands on Senior QA Automation Engineer / SDET (Software Development Engineer in Test) engineer needed with both SC and NPPV3 Security Clearance, plus strong hands-on experience with JUnit, Cucumber, and Selenium WebDriver. 6 Month Rolling Contract based in Birmingham. Start ASAP in May/June 2026. Hybrid Working – 3 days/week remote (WFH) + 2 days/week working from the office in Birmingham with occasional travel to Croydon. A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Key skills, experience + duties to include: Extensive hands-on experience with JUnit, Cucumber, and Selenium WebDriver within complex enterprise environments. Strong understanding of Spring applications, microservices, and distributed architectures. Good understanding in PostgreSQL, including query optimisation, performance tuning, and data validation. Experience using WireMock for service virtualisation and integration isolation. Strong expertise in Performance, Load, and Stress testing using JMeter. Proven experience leading testing activities within Agile delivery teams. Strong understanding of CI/CD pipelines and tooling such as Jenkins, GitHub Actions, and GitLab CI. Ability to analyse complex systems, identify risks, and design effective test strategies. Experience with Git, Jira, Confluence, and related engineering tools. Desirable Skills: Testing microservices at scale, including contract testing approaches. containerisation (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Understanding of BDD/TDD practices and quality driven engineering.Monitoring and observability tools (Grafana, Prometheus, ELK). Excellent communication and stakeholder management skills, with the ability to collaborate effectively across technical and non-technical teams

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry. Role overview for the Software Engineer (Monitoring Platform) As a Software Engineer (Monitoring Platform) here at SRT, you will be part of a small team responsible for designing, building, and maintaining our productised monitoring and observability platform. This platform is deployed across geographically distributed on-premises sites worldwide, serving clients with varying infrastructure and WAN capabilities. Rather than simply using Prometheus and Grafana, you will be engineering the frameworks, tooling, and configuration pipelines that make our monitoring platform consistent, maintainable, and scalable across dozens of deployments. You as a Software Engineer (Monitoring Platform) will work closely with a lead observability engineer who oversees the platform's architecture, and you will have the authority to architect monitoring solutions and specify changes to be implemented by other development teams. We are fortunate to have a team of highly experienced engineers, including UX designers, who can provide support and guidance as we extend the platform's capabilities to serve both internal engineers and external end-users. Please note - you will be required to come to our Cardiff office 1 day a week Key Responsibilities - Software Engineer (Monitoring Platform) - (not exhaustive) Platform Engineering & Configuration-as-Code Build and maintain configuration generation frameworks using Ansible, Jinja2, and Jsonnet to ensure consistency across deployments Design and manage Docker Compose-based service orchestration for the monitoring stack Develop and maintain CI/CD pipelines (Jenkins) for building, testing, and packaging platform releases Dashboards-as-Code & Visualisation Develop Grafana dashboards programmatically using the Grafana Foundation SDK (Python) and JSON provisioning Design reusable, templated dashboard components that can be configured per-deployment Collaborate with engineering and product teams to create tailored visualisations for both engineers and end-users Monitoring Architecture & Design Design and configure Prometheus-based metric collection, including recording rules, alerting rules, and service discovery Develop and maintain metric exporters for application and system-level data Architect monitoring solutions and produce specifications for implementation by other development teams Tooling & Automation Build and maintain Python and Bash tooling for deployment, bundling, and platform operations Develop automation to support environment-specific configuration layering and threshold management Contribute to the platform's packaging and distribution pipeline Required Skills & Experience - Software Engineer (Monitoring Platform) Strong software engineering fundamentals - you write clean, well-structured, maintainable code regardless of language. You understand principles like separation of concerns, composability, and DRY, and you apply them to everything from Python libraries to Bash scripts to YAML templates Proven experience with Prometheus (including PromQL) and Grafana in production environments Experience with configuration management and generation tools (Ansible, Jinja2, or similar) Proficiency in Python and Bash in a Linux environment Experience with Docker and container orchestration (Docker Compose) Strong knowledge of Linux-based systems Familiarity with CI/CD pipelines (Jenkins or similar) Ability to think architecturally - designing solutions that are consistent, scalable, and maintainable across multiple deployments Comfortable working autonomously in a small team with significant ownership over your work Desirable Skills Experience with Grafana-as-code approaches (Grafana Foundation SDK, Grafonnet, or JSON provisioning) Familiarity with Jsonnet for configuration generation Experience with Thanos or other long-term metric storage solutions Knowledge of SNMP-based monitoring Within SRT the role title for this position will be System Monitoring & Observability Engineer SRT Marine Systems plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community

Senior Software Engineer Birmingham (Hybrid) Permanent | Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications. Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary

Senior .Net Developer Senior .Net Developer Permanent UK‑Based - West Midlands (Hybrid working) SC Clearance Eligible Join TXP and build impactful digital solutions At TXP, we deliver complex, mission-critical technology solutions for clients across a wide range of industries. Our work spans everything from early-stage discovery through to development, deployment and long-term support. We’re looking for a Senior Full Stack Developer to join our growing team, someone who enjoys solving real-world problems, working with modern technologies, and playing a key role in delivering high-quality software. What you’ll be doing Designing, building and supporting scalable applications using .NET, Azure and modern front-end frameworks (React/Angular) Working across the full development lifecycle, from design through to deployment and support Taking ownership of technical delivery, ensuring high standards of quality and performance Collaborating with cross-functional teams and clients to deliver successful outcomes Contributing to Agile delivery, including sprint planning and ceremonies Promoting best practice across development, testing and deployment Mentoring junior developers and supporting team growth What you’ll bring Strong hands-on experience with C# / .NET and the Microsoft ecosystem Experience building and integrating REST APIs, Azure services, APIM and SQL Server Knowledge of React or similar modern JavaScript frameworks Experience with microservices, CI/CD pipelines, and containerisation (Docker/Kubernetes) Solid understanding of Agile (Scrum) delivery environments A passion for quality, including experience with testing practices and TDD Strong problem-solving skills with the ability to see the bigger system picture It’s a bonus if you have experience with Azure and/or AWS cloud platforms AI or emerging technologies Solution architecture or design patterns (SOA, microservices) Linux or scripting What kind of person will succeed at TXP? You’ll thrive here if you are: Proud of the quality of your work and attentive to detail Logical, structured and confident solving complex problems Comfortable explaining technical concepts to both technical and non‑technical audiences A strong team player who also works well independently Proactive, self‑motivated and delivery‑focused Keen to support and develop others Collaborative, emotionally intelligent and professional in your approach Why TXP? At TXP, we’re proud of the way we work: Client Focus – We put our clients at the heart of every decision. Adaptability – We embrace change and thrive in dynamic environments. Responsibility – We take ownership and deliver with integrity. Excellence in Delivery – We are committed to delivering outstanding results. Success & Celebration – We celebrate achievements and learn from every experience You’ll have the opportunity to work on meaningful projects, develop your skills, and play a key role in shaping high-quality solutions. Benefits: • 25 days annual leave (plus bank holidays). • An additional day of paid leave for your birthday (or Christmas eve). • Salary sacrifice, matched employer contributed pension (4%). • Life assurance (3x). • Access to an Employee Assistance Programme (EAP). • Private medical insurance through our partner Aviva. • Cycle to work scheme. • Corporate eye-care vouchers. • Access to an independent financial advisor. • 2 x social value days per year to give back to local communities. Grow with us: Work on exciting new projects. If you want to avoid getting stuck with the mundane, you’re in the right place. We work in many sectors with fantastic clients, so you’ll always be working on something exciting and challenging. Career growth – we’ve got you! We recognise that you might have a career path planned out and you might need some support to help you move forward. We’re here to support you and make the most out of your time with us, through challenging work, opportunities to grow and learning and development opportunities. Be part of the TXP growth journey. We are a high growth, fast paced environment. We currently have 200+ employees and work with clients across the UK. Joining TXP means you’ll be part of that

Telford - 2 days min per month.SRE, observability, and driving operational excellence.As an Observability Engineer, you’ll play a critical role in ensuring.You’ll work across teams to embed observability into the heart of our solutions, leveraging cutting-edge tooling such as.APM, infrastructure

DevOps Team Lead - Remote - Permanent - Client is based in Essex.We are looking for an experienced and hands-on DevOps Team Lead to join a growing technology business based near Colchester.This is a permanent opportunity offering up to £95,000 plus benefits, with remote working and the opportunity

Bachelors in Science (IT/Computer Science/Engineer).Use of common Linux utilities like grep, top, df, ps, and chmod.Some hands-on experience or learning in.Understand how code goes from development to production in an automated way.Understand the difference between containers and virtual machines at

UK (Fully remote, occasional meetups) · £90,000–£95,000 + Private Healthcare.Most DevOps roles are about keeping things running.We're looking for a Lead DevOps Engineer who wants to actually build something.In this role, you'll be player-coach for a global pharma software business that's reshap

Experience with containerisation and orchestration tools such as Docker and Kubernetes. Senior DevOps Engineer / Lead DevOps Engineer / DevOps Architect / Platform Engineer / Senior Platform Engineer / Site Reliability Engineer / Infrastructure Engineer / Cloud Engineer / Azure Engineer / DevSecOps