1,676 to 1,700 of 2,729 Test Automation Jobs in the UK

experience with Angular Good knowledge of TypeScript, JavaScript, HTML and CSS Experience integrating with REST APIs Solid .NET/ASP.NET Core experience Experience with automated testing tools such as Playwright, Vitest, Cypress or Jest Experience using Claude Code or similar AI-assisted development tools Git, CI/CD and Agile … delivery experience Desirable Microsoft Azure Bicep DevOps and deployment automation Cloud-native environments What You'll Be Doing Developing and maintaining Angular applications Integrating front-end solutions with .NET backend services Writing clean, maintainable and well-tested code Contributing to code reviews and engineering best practices Working within ...

experience with Angular Good knowledge of TypeScript, JavaScript, HTML and CSS Experience integrating with REST APIs Solid .NET/ASP.NET Core experience Experience with automated testing tools such as Playwright, Vitest, Cypress or Jest Experience using Claude Code or similar AI-assisted development tools Git, CI/CD and Agile … delivery experience Desirable Microsoft Azure Bicep DevOps and deployment automation Cloud-native environments What You'll Be Doing Developing and maintaining Angular applications Integrating front-end solutions with .NET backend services Writing clean, maintainable and well-tested code Contributing to code reviews and engineering best practices Working within ...

bandwidth) environments, including store-and-forward mechanisms and offline sync. CI/CD & Security Practices: Writing secure code adhering to MoD cyber security standards, automated testing, and building pipelines that package software into deployable Docker artifacts. The Experience You'll Bring Development & Tech: Python, Microservices, REST APIs, FastAPI, Flask, Asynchronous … Programming, Object-Oriented Programming (OOP), Test-Driven Development (TDD). DevOps & Deployment: Docker, Docker Compose, Multi-Stage Builds, Kubernetes, K3s, Edge Computing, CI/CD Pipelines, Store-and-Forward Architecture. Integration & Security: Palantir SDKs/APIs, Webhooks, Secure Coding Practices, Defense Cyber Protection, High Availability, Low-Bandwidth Optimisation. Important ...

network infrastructure. We're looking for an experienced Software Engineer to join our Design & Development team, helping to develop the next generation of handheld test equipment and cloud-connected software solutions. This is an exciting opportunity to work with modern technologies across embedded Linux, C++, Qt and Microsoft Azure … development through to testing, deployment and ongoing product enhancement. Your responsibilities will include: Designing and developing C++ applications for Linux-based handheld network test equipment. Creating intuitive user interfaces using Qt (Widgets and/or Qt Quick/QML). Developing cloud-connected functionality supporting our AnyWARE Cloud platform. ...

Kubernetes to manage complex, containerized AI workloads. Experience working with Large Language Models (LLMs), AI orchestration and agentic frameworks. Experience with tools for automated testing and evaluation of AI outputs.Experience working in Agile teams and collaborating across global R&D locations.R&D at AVEVA Our global team of 2000+ developers … work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation ...

improve engineering capability, delivery effectiveness and technical decision-making. Identify and reduce technical debt, security, resilience and knowledge-concentration risks. Promote pragmatic engineering standards, automation and effective developer tooling. Improve developer experience through self-service capabilities and platform adoption. Support responsible adoption of AI-assisted software development, including coding … What Youll Bring Significant commercial experience in software engineering and technical leadership. Strong knowledge of cloud-native development, CI/CD, infrastructure as code, automated testing, observability and secure software development. Practical experience with AWS, GitLab or comparable platforms, APIs, containers and modern programming languages. Experience coaching and mentoring teams ...

improve engineering capability, delivery effectiveness and technical decision-making. Identify and reduce technical debt, security, resilience and knowledge-concentration risks. Promote pragmatic engineering standards, automation and effective developer tooling. Improve developer experience through self-service capabilities and platform adoption. Support responsible adoption of AI-assisted software development, including coding … Bring Significant commercial experience in software engineering and technical leadership. Strong knowledge of cloud-native development, CI/CD, infrastructure as code, automated testing, observability and secure software development. Practical experience with AWS, GitLab or comparable platforms, APIs, containers and modern programming languages. Experience coaching and mentoring teams with different ...

improve engineering capability, delivery effectiveness and technical decision-making. Identify and reduce technical debt, security, resilience and knowledge-concentration risks. Promote pragmatic engineering standards, automation and effective developer tooling. Improve developer experience through self-service capabilities and platform adoption. Support responsible adoption of AI-assisted software development, including coding … What Youll Bring Significant commercial experience in software engineering and technical leadership. Strong knowledge of cloud-native development, CI/CD, infrastructure as code, automated testing, observability and secure software development. Practical experience with AWS, GitLab or comparable platforms, APIs, containers and modern programming languages. Experience coaching and mentoring teams ...

client goalsObtain a wide and varied understanding of how banks operate around the worldShape the future capabilities of Engine, including our approach, tooling, automation and architecture.Lead by example in your contributions to the codebase, setting a high bar for others to aim forChampion a healthy engineering culture built … most part we code in Java, but you need not be an expert when you join us! We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we’d love to hear from you.We have built ...

Description: Key Responsibilities Design, develop, test, and maintain scalable Java-based applications and microservices. Review and analyse Jira user stories and translate business requirements into technical solutions. Collaborate closely with Business Analysts to refine and elaborate requirements. Work alongside Testers to ensure solutions are thoroughly tested and meet quality … development and integration. PostgreSQL or similar relational database technologies. Docker containerisation. AWS cloud platforms and services. Jenkins CI/CD pipelines. Maven. JUnit and automated testing frameworks. Git source control. Agile development methodologies (Scrum/Kanban). Jira and Confluence. ...

configurationsImplement bulk data migration processes followed by incremental/delta loadsSupport pipeline repointing and replatforming to target cloud architecturesData Pipeline Testing & Validation (Core Focus)Test end-to-end ETL data solutions running on AWS services, including AWS Glue and Apache IcebergValidate data feed pipeline migrations transitioning … Initial bulk data loadsSubsequent incremental/delta migrationsDevelop and run SQL-based validation and reconciliation queries to ensure:Data completenessData accuracyTransformation correctnessSupport creation of automated testing and validation frameworksAWS Data Platforms & LakehouseWork hands-on with AWS cloud services, including:AWS GlueS3-based data lakesSupport implementation of Data Lakehouse architectures, including ...

cases, using Pydantic for schema definition, validation, serialization, configuration-driven models and API-ready data structures. Build reusable Python libraries, modelling components and automation patterns supporting data ingestion, governance workflows, data quality, lineage, integrations and reporting at enterprise scale. Design solutions for processing and governing large-scale financial, risk … data. Knowledge of data architecture, enterprise information management and regulated data lifecycles. Strong understanding of modern engineering practices including Git-based development, code reviews, automated testing, documentation and CI/CD. Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, Cursor or similar technologies, with the ability ...

depth across the practice. Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures. Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production. Architect integration points connecting AI platforms … LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative ...

depth across the practice. Partner with sales and pre-sales to scope AI solutions, size infrastructure, and validate technical feasibility of proposed architectures. Define automation, orchestration, and observability standards across the AI stack, from GPU cluster provisioning through to model monitoring in production. Architect integration points connecting AI platforms … LangChain, LangGraph, Semantic Kernel).Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & ObservabilityInfrastructure-as-code: Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform ...

Delivery & Mentorship: Remain close to the detail by proving solutions, reviewing code, and mentoring engineering teams to set a high bar for quality, automation, and best practices. What you'll be doing Technical Leadership & Governance: Act as the group's senior authority on complex cloud architectures (esp. AWS serverless … standards. Software Engineering & API Design: Strong development background (ideally Java/JavaScript) coupled with robust API design, documentation, and versioning experience. DevOps & Quality Automation: Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD pipelines, and a strict quality-first mindset (unit testing, automated tooling). Communication & Collaboration ...

candidates to arrive as experts in every agent framework or tool. We are looking for strong engineering judgement, curiosity, and the ability to apply automation responsibly to real delivery and operational problems. You might come from data engineering, platform engineering, software engineering, SRE, analytics engineering, MLOps, or cloud infrastructure. … about reliability, security, observability and operational support. Experience working with technical and non-technical stakeholders and communicating clearly. Curiosity about AI-assisted engineering and automation, with an interest in applying these tools to practical delivery workflows. Useful but not essentialExperience with GCP or AWS services such as serverless runtimes ...

cloud-native architectures. Your Team You’ll work within a collaborative, cross-functional Scrum team alongside Product Managers, UX Designers, Software Engineers, and Test Engineers. Our teams embrace shared ownership, continuous improvement, and high engineering standards. We are embracing AI across both our engineering practices and products. … Technical Skills Experience building and supportingcloud-native applications on Microsoft Azure. Strong understanding ofAPI design, distributed systems, security, scalability and performance. Experience applyingunit testing, automated testing and CI/CD best practices. Solid understanding of modern software engineering principles includingSOLID, design patterns and clean architecture. Experience mentoring engineers and contributing ...

Storybook and modern Front End development practices. Work closely with developers, QA, Business Analysts, DevOps, CRM, design and marketing teams. Contribute to code reviews, automated testing, CI/CD pipelines and improvements to application performance, security and scalability. Support user experiments and A/B testing to improve customer conversion …/GitLab and GitLab CI/CD. Strong understanding of component-based development, cross-browser compatibility and responsive design. Experience with ESLint, unit testing, automated testing and SOLID development principles. Good understanding of application performance, security principles including OWASP, and scalable software development. Experience with Node.js, Nuxt/Next, Docker ...

integrate the platform with upstream and downstream systems, and to model private markets workflows effectively. Contribute to and improve engineering practices across the team: automated testing, code review, design documentation, CI/CD, monitoring, and incident response. Work effectively in an early-stage environment with evolving requirements, helping to shape … making design trade-offs, and delivering working software into production. Comfortable working with and evaluating AI tooling in your workflow (e.g.for ideation, code generation, test generation, or documentation), while retaining strong engineering judgement and maintaining quality. Ideally you will also be able to demonstrate: Experience in private markets, capital ...

using Java (JDK 11+) & Spring BootBuilding scalable microservices & REST APIsWorking in Agile Scrum teamsSupporting cloud deployments (AWS environments)Contributing to CI/CD and automated testing practicesCollaborating with technical leads, testers and DevOps engineersWhat They’re Looking For:5+ years commercial Java development experienceStrong Spring Boot knowledgeExperience working in Agile … architecturePassion for clean code and modern engineering practicesNice to Have:AWS or cloud exposureDocker/containersCI/CD tools (Jenkins, GitLab, SonarQube)TDD/automated testing exposureSecurity Clearance Requirement:Due to client project work, candidates must be eligible for UK Security Clearance (SC)Why Apply Work on large-scale real ...

risks to senior engineers or architects as appropriate.Take technical ownership of one or more key components, services, or subsystems, ensuring high code quality, strong test coverage, and operational readiness.Contribute to solution and component design, ensuring codebases are maintainable, extensible, and well‐documented across both C++ and Java stacks.Support full … system integration.Experience building and supporting distributed systems, including messaging, APIs, and inter‐service communication.Familiarity with Linux environments, build tools, version control systems, and automated testing frameworks.Experience with modern engineering practices such as CI/CD, performance tuning, and observability.Exposure to cloud platforms and open‐source technologies, and integrating them into ...

senior engineers or architects as appropriate.* Take technical ownership of one or more key components, services, or subsystems, ensuring high code quality, strong test coverage, and operational readiness.* Contribute to solution and component design, ensuring codebases are maintainable, extensible, and well‐documented across both C++ and Java stacks.* Support … integration.* Experience building and supporting distributed systems, including messaging, APIs, and inter‐service communication.* Familiarity with Linux environments, build tools, version control systems, and automated testing frameworks.* Experience with modern engineering practices such as CI/CD, performance tuning, and observability.* Exposure to cloud platforms and open‐source technologies ...

Delivery & Mentorship: Remain close to the detail by proving solutions, reviewing code, and mentoring engineering teams to set a high bar for quality, automation, and best practices. What you’ll be doing Technical Leadership & Governance: Act as the account's senior authority on complex cloud architectures (esp. AWS serverless … . Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled with robust API design, documentation, and versioning experience. DevOps & Quality Automation: Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD pipelines, and a strict quality-first mindset (unit testing, automated tooling). Communication & Collaboration ...

Work with client stakeholders, product owners and Deloitte teams to understand business challenges and translate them into practical AI/ML solution designs.Design, build, test and deploy machine learning models, Generative AI components, data pipelines and analytics solutions that are robust, scalable and maintainable.Take ownership of technical deliverables … engineering, retrieval-augmented generation, model evaluation and responsible AI considerations. Understanding of MLOps and production AI practices, including CI/CD, model versioning, monitoring, automated testing, retraining and performance optimisation. Experience using cloud platforms and cloud-native AI/ML services, such as Azure, AWS or GCP, to build ...

Work with client stakeholders, product owners and Deloitte teams to understand business challenges and translate them into practical AI/ML solution designs.Design, build, test and deploy machine learning models, Generative AI components, data pipelines and analytics solutions that are robust, scalable and maintainable.Take ownership of technical deliverables … engineering, retrieval-augmented generation, model evaluation and responsible AI considerations. Understanding of MLOps and production AI practices, including CI/CD, model versioning, monitoring, automated testing, retraining and performance optimisation. Experience using cloud platforms and cloud-native AI/ML services, such as Azure, AWS or GCP, to build ...