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.

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

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.

Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.

If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com . US job seekers can find more information about Unisys’ EEO commitment here .