QA Automation Engineer

The QA Automation Engineer / Web and API Testing role is responsible for ensuring end-to-end quality across web applications and backend services through automated and manual testing. The role focuses on designing, developing, executing, maintaining, and improving automated tests using Java, Selenium, and REST Assured, while integrating them into CI/CD pipelines and reporting results through AllureReports and ExtentReports. The position also contributes to test data preparation, defect investigation, release validation, quality gates, and close collaboration with QA, Development, Product, and DevOps teams. Experience with modern testing practices, AI-assisted testing workflows, and MCP Server integrations is considered an important advantage.

Key Responsibilities

Test Automation (Primary Focus)

• Develop, maintain, and optimize automated test suites for Web and API testing frameworks

• Implement automation using:

• Java
  
• Selenium
  
• REST Assured
  
• IntelliJ
  

• Integrate automated tests into AI-assisted testing workflows and MCP infrastructures.

• Improve existing frameworks, including POM, abstractions, and test runners.

• Integrate tests into CI/CD pipelines:

• Jenkins
  
• Git (branching, pull request reviews, and code reviews).
  

• Reduce test flakiness and improve execution stability.

• Continuously maintain, refactor, and improve automated tests to keep them reliable, reusable, and aligned with product changes.

• Analyze pipeline results, investigate failures, and review automation reports using AllureReports and ExtentReports.

• Create, prepare, and manage test data required for both manual and automated Web/API test scenarios.

• Perform peer code reviews for automated test cases, ensuring maintainability, readability, and alignment with framework standards.

Manual Testing

• Analyze requirements, user stories, and acceptance criteria.

• Create and execute manual tests, including functional, regression, and exploratory testing.

• Validate functionality

• Report defects in JIRA and track them through resolution.

• Investigate, validate, and log confirmed issues as bugs with clear reproduction steps, expected results, actual results, and business impact.

Analysis & Investigation

• Perform root-cause analyses for defects and automated test failures.

• Correlate web behavior with potential backend or API issues.

• Collaborate closely with Development and DevOps teams to ensure efficient triage.

Collaboration & Agile

• Collaborate directly with Development, QA, Product Owners, and DevOps.

• Participate in Agile ceremonies, including planning, refinement, daily stand-ups, reviews, and retrospectives.

• Provide proactive feedback on risks, test coverage, and deliverable quality.

• Act as a quality gate for production deployments by assessing test results, known risks, and release readiness.

• Support other QA team members through knowledge sharing, technical guidance, and troubleshooting assistance.

Mandatory Technical Requirements

• Minimum of 6 years of experience in test automation or QA engineering.

• Bachelor’s degree in Computer Science or equivalent relevant hands-on experience.

• Strong programming knowledge in Java.

• Advanced experience with:

• Selenium for Web automation
  
• REST Assured for API testing
  
• AllureReports and ExtentReports
  
• MCP Servers and AI-driven integrations
  
• IntelliJ and VS Code IDE
  
• Maven/Gradle
  

• Experience with AI-assisted testing workflows or LLM-based testing workflows.

• Strong knowledge of the SDLC, testing methodologies

• Experience with testing throughout the full software development life cycle, including integration, system, regression, and acceptance testing.

• Experience with CI/CD projects using Jenkins and Git.

• Experience with test management tools such as Zephyr, TestRail, or similar.

• Strong experience with Jira for issue management, defect tracking, and QA workflow visibility.

Nice to Have / Preferred Qualifications

• Experience with:

• API testing using Insomnia
  
• SQL
  
• Log analysis using Kibana and Splunk
  

• Familiarity with:

• MCP Server architecture
  
• AI-based tools for testing and debugging
  
• SonarQube and Confluence
  

• Experience defining quality standards and code quality gates.

Soft Skills

• Excellent analytical and problem-solving skills.

• Proactive, autonomous, and detail-oriented approach.

• A quality-focused and continuous-improvement mindset.

• Excellent communication and collaboration skills.

• Strong team-player mindset, with the ability to collaborate effectively across QA, Development, Product, and DevOps teams.

• Ability to maintain predictability and consistency in delivery.