901 to 925 of 3,740 Test Automation Jobs

stack development, across Python/FastAPI services and React/TypeScript front ends Continuously improving the team's processes for iterative development, including embedding automated testing and CI quality gates into a fast-moving AI product Championing the responsible and secure use of LLMs - including prompt-injection awareness, defensive design … business and platform, and ways of working - is an absolute must Full product delivery mindset focused on a tested user experience Encourages a test-first approach as part of stories, aiming for high automated coverage, and comfortable establishing CI quality gates (lint, type-check, test) where they ...

availability, observability and operational support. Work with engineering teams on DevOps and CI/CD approaches, helping ensure that architecture supports effective automated build, test, deployment and operation. Understand and contribute to Infrastructure as Code approaches, particularly Terraform, and how infrastructure design and application architecture work together. Define … DevOps, CI/CD and modern software delivery practices. Experience of Infrastructure as Code, particularly Terraform. Understanding of containerisation and orchestration technologies. Experience with automated testing, deployment pipelines and environment management. Experience of integration architecture, API management and event-driven architectures. Experience working with architecture modelling tools and maintaining architecture ...

Development team, taking ownership of technical solutions that support our digital platforms, customer journeys, and wider business objectives.In this role, you'll design, develop, test, and maintain PHP-based applications and integrations, working closely with Marketing and stakeholders across the business to translate requirements into effective, scalable solutions. … testable code using PHP, following development best practices and coding standards.· Design, develop, and maintain databases, ensuring data integrity, reliability, and efficient performance.· Test and troubleshoot applications, identifying and resolving software defects while continuously optimising system performance, functionality, and reliability.· Work collaboratively with Marketing and wider business teams ...

across front-end, services, and integration layers. Strong software engineering fundamentals, including object-oriented design, design patterns, problem solving, peer reviews, unit testing, and test-driven development. Proficiency in one or more modern programming languages, with the ability to learn and apply new technologies as needed. Strong understanding … patterns, including RESTful services, token-based authentication (e.g., JWT), JSON, and XML, alongside experience with CI/CD pipelines, DevOps practices, source control, and automated testing frameworks. Experience designing, integrating, or supporting AI-enabled solutions, with an understanding of testing, assurance, and governance requirements. Practical experience using AI-assisted engineering ...

play a key role in ensuring the reliability, scalability, and performance of our critical platforms and services. You will lead complex reliability initiatives, drive automation efforts to reduce operational toil, and help build resilient systems that deliver exceptional customer experiences. You will leverage your expertise in observability, incident response … queries and establishes service level baselines. Supports senior engineers during incidents. Makes contributions during post-mortems and RCAs. Participates in disaster recovery tests. Implements automation and executes code in production environments. Contributes to SRE knowledge documentation. Supports the deployment, monitoring, and reliability of services integrating AI tools. Design ...

play a key role in ensuring the reliability, scalability, and performance of our critical platforms and services. You will lead complex reliability initiatives, drive automation efforts to reduce operational toil, and help build resilient systems that deliver exceptional customer experiences. You will leverage your expertise in observability, incident response … queries and establishes service level baselines. Supports senior engineers during incidents. Makes contributions during post-mortems and RCAs. Participates in disaster recovery tests. Implements automation and executes code in production environments. Contributes to SRE knowledge documentation. Supports the deployment, monitoring, and reliability of services integrating AI tools. Design ...

long‐term platform direction Data Engineering & Delivery Design and build robust, scalable data pipelines (Snowflake, dbt, Airflow, ADF, Python) Apply strong practices in test‐driven development, monitoring, logging, and observability Own more complex technical solutions and problem‐solving Support production issues and drive root‐cause improvements rather than quick … scale, including DAG reliability, scheduling, and failure handling Version control, branching strategies, and release processes Engineering Best Practice Test‐driven development and automated testing within CI/CD workflows Defining and enforcing standardised engineering patterns across a shared codebase Operational reliability, including monitoring, structured logging, alerting, and systematic failure ...

products need to be as reliable and secure as the physical security solutions we deliver. This role exists to build and maintain the infrastructure, automation and deployment pipelines that keep our Laravel-based applications running smoothly, securely and at scale.The DevOps Laravel Engineer will work within the IT function … tune and scale background queues and caching layers to guarantee low latency or monitoring lag during high-volume alarm spikes.2. CI/CD and automation - Design, build and maintain CI/CD pipelines for Laravel applications, automating testing, build and deployment. - Reduce manual, repetitive work through automation ...

rather than exact framework history. AI-assisted tools are part of modern development, but they do not replace expertise. You must be able to test assumptions, review generated work critically and take responsibility for every change you deliver. What you’ll do Build accessible, responsive and intuitive web interfaces … server-side technology. Practical knowledge of REST APIs, databases, data modelling, validation, error handling and common web security risks. Confidence with Git, code review, automated testing and debugging—including production incidents. The judgement to evaluate code critically, whether written by you, a colleague or an AI tool. Clear communication, ownership ...

products need to be as reliable and secure as the physical security solutions we deliver. This role exists to build and maintain the infrastructure, automation and deployment pipelines that keep our Laravel-based applications running smoothly, securely and at scale. The DevOps Laravel Engineer will work within … scale background queues and caching layers to guarantee low latency or monitoring lag during high-volume alarm spikes. 2. CI/CD and automation Design, build and maintain CI/CD pipelines for Laravel applications, automating testing, build and deployment. Reduce manual, repetitive work through automation ...

deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models ...

deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models ...

deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models ...

deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models ...

deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models ...

appropriately documented, tested, approved, communicated, and supported by implementation, rollback, and release readiness plans. Ensure all releases pass through agreed stage gates (Dev → Test → Pre-Prod → Prod) with appropriate evidence and sign‐off at each transition. Manage early life support (ELS) periods for newly deployed services, with defined criteria … other UK government department programmes. Knowledge of security and compliance requirements relevant to UK public sector (e.g., SC clearance environment). Experience with automated testing frameworks and release validation tooling. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. ...

with Terragrunt, Terratest Experience with Chef, Puppet, Salt, or Ansible in production environments Management of Automation Tooling – Jenkins, CircleCI, GitLab CI Experience with automated testing tools - Selenium, JMeter, Lighthouse Strong scripting skills - Powershell, Python, Bash, Ruby, Perl Satalia is home to some of the brightest minds ...

agentic workflows, assess new tools and models, and mentor engineers in spec-first, agent-driven development. Collaborate with product, design and customer experience to test hypotheses and deliver weekly releases behind feature flags. Skills and Experience Substantial commercial engineering experience at senior or lead level, building and running production … PostgreSQL, relational design, REST API and cloud-native fundamentals (AWS preferred), with depth in at least two of Go, Python and TypeScript. Experience in automated testing, CI/CD, DevOps and live database migrations, alongside a working understanding of security, data protection and GDPR. Desirable: experience building or evaluating ...

reliability high. Accelerate with AI & Automation: Drive the rollout and evolution of AI-powered developer tooling, intelligent code assistants (including Claude Code), and automated testing frameworks to boost team velocity and quality. Partner Cross-Functionally: Collaborate side-by-side with Product, Architecture, UX/CX, and Frontend teams ...

Scala and the Play Framework. Confidence with modern development practices (Test-Driven Development using ScalaTest/Specs2, continuous integration/continuous deployment, and automated testing). Solid understanding of information security principles and secure-by-default engineering. Experience with systems design, RESTful API development, and microservices integration in complex ...

analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment … Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership and influence – Track record of mentoring and coaching engineers, driving ML initiatives ...

analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment … Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership and influence – Track record of mentoring and coaching engineers, driving ML initiatives ...

analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment … Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership and influence – Track record of mentoring and coaching engineers, driving ML initiatives ...

analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment … Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership and influence – Track record of mentoring and coaching engineers, driving ML initiatives ...

design and data modeling through to service implementation, production reliability, and launch. You already use AI as part of how you think, build, test, and ship. You'll write code that moves money in production, design and modernize the backend services the platform runs on, and lead delivery ...