Automation QA Engineer: AI-Driven Testing & CI/CD

Travis Perkins plc

Northampton

Hybrid

GBP 45.000 - 65.000

Vollzeit

vor 28 Stunden
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Zusammenfassung

Travis Perkins Group's Software Engineering team in Northampton is seeking a QA Engineer (Automation) to design, build and maintain scalable automated testing across core enterprise systems and in-store platforms. You will work with engineers, Product Owners, DevOps and third-party QA to raise regression coverage and accelerate feedback.

The role emphasizes AI-enabled QA ideas, data flows, REST API testing, and CI/CD integration, with hybrid working 2–3 days in the office.

Qualifikationen

  • Degree in Computer Science, Software Engineering, or related discipline (or equivalent practical industry experience).
  • Strong background in quality engineering with hands-on experience designing, developing, and maintaining automated test frameworks.
  • Good programming/scripting skills (TypeScript or JavaScript).
  • Experience with end-to-end testing tools, Page Object Models, and asynchronous test handling.
  • Experience in testing web applications, APIs, and integrations using REST APIs, Postman, or equivalent tools.
  • Understanding of CI/CD pipelines and automated execution.
  • Excellent analytical, problem-solving, and communication skills with a collaborative mindset.

Aufgaben

  • Design, build, and maintain a scalable automated testing framework for terminal-based interfaces (including Web Terminal) and modern web applications.
  • Develop robust regression suites covering critical retail trading journeys, core business processes, and connected systems.
  • Automate and validate data flows between core applications and connected enterprise systems to ensure data consistency and transactional integrity.
  • Utilise REST APIs to support test data creation, retrieval, validation, and environment setup.
  • Integrate automated tests into CI/CD pipelines using scheduled and containerized execution where appropriate.
  • Provide rapid feedback during development and deliver automated validation following deployments.
  • Collaborate with Product Owners, system SMEs, developers, DevOps, and third-party QA engineers to translate business processes into clear test scenarios and maintainable automation.
  • Partner with external QA engineering providers to establish automation standards, review test solutions, share knowledge, and build a consistent capability.
  • Explore and apply AI tools to improve test generation, script optimization, test data creation, failure analysis, defect triage, and documentation.
  • Identify practical opportunities to leverage AI across QA and the wider software delivery lifecycle, sharing knowledge and successful approaches across teams.
  • Quality Shift-Left: Work with developers and Product Owners from the outset to identify risks, define acceptance criteria, and establish test coverage.
  • Defect & Incident Investigation: Investigate test failures and production incidents using logs and technical analysis to identify root causes and support release decisions.
  • Agile Teamwork: Participate in sprint planning, refinement, daily stand-ups, and retrospectives.
  • Standards & Optimization: Promote reusable or maintainable automation and secure practices. Monitor test coverage, execution times, and reliability (utilizing parallel execution and session health checks).

Kenntnisse

QA & Automation
Programming (TypeScript/JavaScript)
REST API Testing
CI/CD
Agile / Scrum
Analytical thinking
Communication

Ausbildung

Degree in Computer Science or Software Engineering

Tools

Postman
Allure

Jobbeschreibung

Travis Perkins Group's Software Engineering team in Northampton is seeking a QA Engineer (Automation) to design, build and maintain scalable automated testing across core enterprise systems and in-store platforms. You will work with engineers, Product Owners, DevOps and third-party QA to raise regression coverage and accelerate feedback.

The role emphasizes AI-enabled QA ideas, data flows, REST API testing, and CI/CD integration, with hybrid working 2–3 days in the office.

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