Application Lead Test Engineer

What success looks like in this role: We’re looking for a senior engineer who can both build and break software. You’ll develop features across our full stack, lead quality for the team, and own the test strategy. Roughly [50%] of your time will be spent on application development and [50%] on testing and QA activities. You’ll work in Java, PHP, Jmix, JavaScript and TypeScript, use AI to work faster while keeping human judgment in the loop, and lead a small team of QA engineers. Key Responsibilities: Application Development Design, develop, and maintain full stack features using Java, PHP, and the Jmix framework on the back end, and JavaScript/TypeScript on the front end Build and consume REST APIs and integrate third-party services Translate business requirements into scalable, maintainable technical solutions Contribute to architecture and design decisions, including code structure, patterns, and technical standards Write clean, well-tested code with strong unit and integration test coverage Participate in and lead code reviews across both application and test code Debug and resolve production issues, and optimize application performance Mentor developers and QA engineers on code quality and testability Testing & Quality Leadership Lead and mentor QA engineers, balancing leadership with hands-on technical work Architect, build, and maintain test automation frameworks for UI, API, and integration testing Plan, design, and run performance, load, and stress tests, then analyze results and recommend improvements Promote shift-left testing by working with the team on testability, early defect detection, and test coverage Build and maintain CI/CD pipelines so builds, tests, and deployments run automatically Set up test tooling, including mocks, stubs, and test environments Track quality metrics, run defect triage, and report risks and status to stakeholders Estimate effort and continuously improve processes in an [Agile/Scrum] environment AI in Engineering Use AI tools to generate test cases and test data, draft and refactor code, review changes, and summarize failures and logs Define team guidelines for responsible AI use, including prompt practices, review of AI-generated code, and protection of sensitive data Evaluate and introduce AI-powered development and testing tools, and measure their real impact on quality and speed ​#LI-SS1 You will be successful in this role if you have: BA/BS degree and 7-10years’ relevant experience OR equivalent combination of education and experience Required Qualifications Development 7-10 years of professional software engineering experience, including full stack development Strong proficiency in Java, with Spring Boot or similar frameworks Hands-on experience with the Jmix framework (or its predecessor, CUBA Platform) Working experience with PHP (Laravel, Symfony, or similar) Strong JavaScript and TypeScript skills, plus a modern front-end framework [React / Angular / Vue] Solid understanding of HTML5, CSS3, and responsive UI development Experience designing and building REST APIs, including authentication and authorization (OAuth2, JWT) Good grasp of design patterns, clean code, SOLID principles, and application architecture Experience with Git workflows, pull request reviews, and build tools (Maven/Gradle, npm) Testing SDET or test automation engineering experience and previous experience leading QA teams Proven experience writing Test Plans and Test Strategies for complex projects Experience building automation frameworks from scratch (Selenium, Playwright, Cypress, TestNG/JUnit, or similar) Hands-on performance testing experience (JMeter, k6, Gatling, or similar), including load modeling and bottleneck analysis Strong API testing experience (REST Assured, Postman, or similar) Experience integrating tests into CI/CD (Jenkins, GitLab CI, GitHub Actions) Experience with Jira and test management tools (TestRail, Xray, or similar) AI & Soft Skills Practical experience using AI assistants and coding tools (e.g., Claude, GitHub Copilot, ChatGPT) in daily development and testing, with the judgment to validate and correct their output Prompt engineering skills for producing reliable code, test cases, and test data Excellent communication and stakeholder management skills Ability to switch between building and testing, and to lead by example Nice to Have Experience building AI-assisted tooling, such as agents, scripts that call LLM APIs, or MCP integrations Microservices architecture and event-driven design Docker, Kubernetes, and cloud platforms (AWS / Azure / GCP) Application performance monitoring tools (Grafana, Prometheus, New Relic, Datadog) ISTQB or AI certifications Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. 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