Quality Engineering & Assurance
* UK Public Sector
What You'll Work On
* Design and execute test cases, automated scripts, and regression suites for web, API, and backend services across UK government digital programmes.
* Work within Agile delivery teams — contributing quality perspectives, supporting defect triage, and maintaining test environment readiness across release cycles.
* Review and validate AI-generated code and outputs, developing the judgment to distinguish between what an AI has produced and what is actually safe to ship.
* Apply scripting and CI/CD skills to support test automation pipelines, with hands-on exposure to AI-assisted quality practices including prompt testing and non-deterministic behaviour.
* Monitor quality metrics and test coverage, identifying breakdowns in automated workflows and escalating where AI outputs diverge from expected behaviour.
* Build the foundations of a career in AI-led Quality Engineering — understanding not just how to test software, but how to test software that was itself built by AI, using AI.
* Hybrid
* Regular client travel
* Requires candidates to be eligible for SC clearance
What You'll Bring
* Understanding of software testing fundamentals — able to write a test case, identify equivalence classes, and articulate what a defect lifecycle looks like end to end.
* Working knowledge of at least one programming or scripting language (Java, Python, C# or JavaScript preferred) — sufficient to read existing test code, modify a script, and understand what it is doing.
* Familiarity with one or more test automation frameworks — Selenium, Playwright, Cypress, Webdriver IO, Jmeter or Loadrunner — and an understanding of when automation adds value and when it does not.
* Awareness of CI/CD concepts and version control — comfortable working with Git, and familiar with how test automation pipelines fit into tools such as Azure DevOps or Jenkins.
* Awareness of Agile ceremonies and the role quality plays within a sprint — not just testing at the end, but contributing to definition of ready and definition of done.
* Able to think critically about AI-generated outputs — questioning results, recognising when behaviour is unexpected, and knowing when to escalate rather than accept.
WHY COGNIZANT
* Real impact. Work on UK government accounts — where quality and resilience are the product, not an afterthought.
* Fast track. AI compresses the path to seniority. You will use AI to acquire skills faster, perform judgment-based work earlier, and reach higher-value roles sooner.
* Deliberate investment in you. We hired 25,000 fresh graduates in 2025 and expect to exceed that in 2026 — a deliberate bet that digital natives are the most valuable asset in an AI-first workforce.
* AI-native environment. Access a $1 billion AI ecosystem: Synapse skilling (2M target), Agent Foundry for enterprise agents, and Neuro® AI tooling embedded in your daily work.
* Leadership that delivers. Join a CEO named to the TIME 100 AI 2025 list for building the talent infrastructure the AI economy demands — and a Chief People Officer who is making that case globally.
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