Automate and validate data flows between core applications and connected enterprise systems to ensure data consistency and transactional integrity.
Utilize REST APIs to support test data creation, retrieval, validation, and environment setup.
CI/CD & Continuous Testing
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.
Collaboration & Third-Party Partnerships
Work 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.
AI-Enabled Quality Engineering
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.
Continuous Improvement & Delivery
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).
Candidate Profile
Essential Qualifications & Skills
Education/Experience: Degree in Computer Science, Software Engineering, or a related discipline (or equivalent practical industry experience).
QA & Automation: Strong background in quality engineering with hands-on experience designing, developing, and maintaining automated test frameworks.
Languages & Tools: Good programming/scripting skills (ideally TypeScript or JavaScript). Experience with end-to-end testing tools, Page Object Models, and asynchronous test handling.
API Testing: Experience in testing web applications, APIs, and integrations using REST APIs, Postman, or equivalent tools.
DevOps Integration: Understanding of CI/CD pipelines and automated execution.
Soft Skills: Excellent analytical, problem-solving, and communication skills with strong attention to detail and a collaborative mindset.
Desirable Qualifications & Skills
Experience testing retail, branch trading, cash operations, transactional systems, or order lifecycle workflows.
Familiarity with terminal emulation or legacy/green-screen interfaces.
Experience with enterprise systems including ERP, middleware, PIM, or digital platforms.
Practical exposure to AI tools/technologies with a strong interest in applying AI to QA and software engineering workflows.
Hands-on experience with reporting tools (e.g., Allure) and cloud-based/containerized test environments.
ISTQB or equivalent software testing certification.
Experience using AI coding assistants, generative AI, or AI-powered testing tools to generate tests, analyze failures, optimize automation, or train engineering teams.
Why Join Us?
Software Engineering plays a vital role in protecting Travis Perkins Group's core revenue streams and business continuity. In this role, you will help establish a scalable automation capability across our core retail trading platforms and connected enterprise systems, reducing reliance on manual regression testing and embedding quality directly into our CI/CD pipelines.
You will also have the direct opportunity to shape how we adopt AI within QA and Software Engineering, bringing new ideas to deliver measurable improvements in delivery quality and team productivity.
