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- Tasks: Design and execute test cases for AI-generated software in UK government projects.
- Company: Cognizant, a leader in AI-driven quality engineering.
- Benefits: Fast career growth, access to cutting-edge AI tools, and competitive salary.
- Other info: Join a dynamic team focused on shaping the future of AI in quality assurance.
- Why this job: Make a real impact on public services while working with innovative AI technologies.
- Qualifications: Basic software testing knowledge and familiarity with programming languages.
The predicted salary is between 30000 - 40000 £ per year.
Cognizant has set the standard for the AI builder company, being first to market with this concept—moving beyond integration to building the context-infused platforms, agentic journeys, tools and models that make AI’s potential real for the enterprise. This means closing the gap between AI hype and real business outcomes for our clients by blending people, platforms, and context to build agents that do real work. As AI generates more code than ever before, a new imperative has emerged: the Verification Economy. Every AI-generated line must be validated, every agent tested, every public-sector service proven safe before it ships. This role sits at the centre of that mission — and we believe early-career engineers are more critical to that mission, not less.
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.
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.
Junior SDET (Software Development Engineer in Test) in Leicester employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior SDET (Software Development Engineer in Test) in Leicester
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that Junior SDET role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your test cases, scripts, and any projects you've worked on. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Brush up on your programming and scripting skills, especially in languages like Java or Python. Being comfortable with test automation frameworks will definitely give you an edge.
✨Tip Number 4
Apply through our website! We’re always on the lookout for fresh talent, and applying directly gives you a better shot at getting noticed. Don’t hesitate to reach out if you have questions about the application process!
We think you need these skills to ace Junior SDET (Software Development Engineer in Test) in Leicester
Some tips for your application 🫡
Show Your Passion for Quality Engineering: When you're writing your application, let your enthusiasm for quality engineering shine through! Talk about why you’re excited about the role and how you see yourself contributing to AI-led quality practices. We love seeing candidates who are genuinely interested in making a difference.
Tailor Your Application: Make sure to customise your application to highlight your relevant skills and experiences. Mention specific programming languages or testing frameworks you’ve worked with, and relate them to the job description. This shows us that you’ve done your homework and understand what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate candidates who can communicate effectively, especially when it comes to complex topics like AI and software testing.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Cognizant
✨Know Your Testing Fundamentals
Brush up on your software testing basics. Be ready to discuss how to write test cases, identify equivalence classes, and explain the defect lifecycle. This knowledge will show that you understand the core of what the role entails.
✨Familiarise Yourself with Automation Tools
Make sure you have a good grasp of at least one test automation framework like Selenium or Cypress. Be prepared to talk about when automation is beneficial and when it might not be the best approach. This will demonstrate your practical understanding of the tools you'll be using.
✨Show Off Your Scripting Skills
Since the role requires some programming knowledge, practice reading and modifying scripts in languages like Java or Python. You might be asked to solve a problem on the spot, so being comfortable with code will give you an edge.
✨Think Critically About AI Outputs
Prepare to discuss how you would approach validating AI-generated code. Think about how to question results and recognise unexpected behaviour. This critical thinking is essential for ensuring quality in AI-driven projects.