Cognizant
Senior Automation Engineer
Full Time / 7 Years
Information Technology
Posted 06 Aug, 2025
Job Description
- Test Strategy and Planning
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Define and lead comprehensive QA strategies, covering all phases of the software development lifecycle.
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Develop, manage, and execute manual and automated test plans, cases, and scripts to ensure thorough testing.
- Automation and Tooling
- Lead the development of automated testing frameworks using Cypress, Playwright or any automation tool for endtoend test coverage.
- Drive platform scalability by implementing performance and load tests using tools like Gatling, K6, or Jmeter.
- Quality Assurance
- Perform contract testing to ensure smooth interaction between microservices.
- Lead regression testing efforts for bug fixes and new features to maintain overall quality.
- Oversee the endtoend testing pipeline, resolving issues promptly to avoid any delays.
- CrossFunctional Collaboration
- Work closely with product managers, developers, and DevOps engineers to meet project requirements and deliver highquality software.
- Contribute to agile team processes, including sprint planning and other ceremonies, with valuable QA insights.
- Coordinate with QE teammates to prepare and lead weekly deployments, ensuring smooth execution.
- Issue Resolution and Reporting
- Accurately document, track, and report software defects, conducting root cause analysis as needed.
- Provide timely and detailed reports on QA activities, testing outcomes, and relevant quality metrics.
- Mentorship and Leadership
- Mentor junior QA engineers, building a strong team culture focused on quality and continuous improvement.
- Stay uptodate with emerging QA tools and methods, bringing new ideas to the team.
Job Requirements
- Expertise in software quality assurance, with a strong focus on automation testing (e.g., Cypress, Playwright).
- Demonstrated experience with performance testing tools such as Gatling and Autocannon.
- Proficient in JavaScript (TypeScript) or Java
- Familiar with frontend and backend technologies (e.g., ReactJS, ExpressJS, Gingonic), as well as cloud platforms (AWS, Docker, Kubernetes).
- Knowledgeable in CI/CD tools (e.g., GitLab, ArgoCD) and relational databases (MySQL, PostgreSQL).
- Solid understanding of REST and GraphQL APIs, JWT for authentication, and search technologies like Elasticsearch.