Senior QE Engineer - API Automation (7+ yrs exp)

Location : Hyderabad (Onsite) - Full-time

Role Overview :

We are looking for a Senior QE Engineer - API Automation to strengthen our quality engineering capabilities through robust API test automation, reliable test frameworks, and integration of automated validation into CI/CD pipelines. The role also calls for practical use of AI-assisted engineering tools and an understanding of emerging AI-driven quality engineering practices.

Key Responsibilities :

- Design, develop, execute, and maintain automated API tests using Playwright API, Rest Assured, or Karate.

- Use WireMock to mock internal and external service dependencies and validate service behaviour across scenarios.

- Perform exploratory, contract, and manual API validation using tools such as Postman and Testfully.

- Integrate automated tests into CI/CD workflows using GitHub Actions, GitLab CI, Jenkins, or equivalent tools.

- Manage test suites and coordinate defect tracking using TestRail, Zephyr, and Jira.

- Perform cross-platform validation using Sauce Labs, LambdaTest, or similar platforms where applicable.

- Where applicable, support integration of SAST, SCA, and DAST checks into API testing pipelines.

- Apply cloud platform knowledge across AWS, Azure, GCP, or equivalent environments, including deployment workflows, secrets management, database services, and cloud-native infrastructure used in test and production.

- Document automation frameworks and testing practices, and mentor junior engineers.

- Use AI coding assistants to support day-to-day scripting and test generation, and explore AI-enabled approaches to test maintenance, self-healing automation, and intelligent test selection.

Required Technical Skills:

- 7+ years of hands-on experience on QE Automation (Playwright + Typescript).

- Strong hands-on experience with API automation using at least one of: Playwright API, Rest Assured, or Karate.

- Experience with service virtualization or dependency mocking using WireMock.

- Experience with Typescript.

- Working knowledge of API exploration and validation with Postman, Testfully, or comparable tools.

- Experience integrating automated tests into CI/CD pipelines such as GitHub Actions, GitLab CI, or Jenkins.

- Familiarity with test management and defect tracking tools such as TestRail, Zephyr, and Jira.

- Familiarity with cross-platform testing services such as Sauce Labs or LambdaTest, where relevant.

- Working knowledge of at least one cloud platform (AWS, Azure, GCP, or equivalent) and its test/production environment fundamentals.

- Ability to document frameworks clearly and provide technical guidance to junior engineers.

AI & Emerging QE Capabilities :

- Hands-on use of AI coding assistants such as GitHub Copilot, Claude Code, Cursor, or Codex for scripting and test generation.

- Understanding of GenAI, large language models (LLMs), and agentic workflows as applied to quality engineering.

- Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP), particularly their potential use in QE tooling and test-data generation.

- Experience with or knowledge of SeaLights or an equivalent AI-driven test optimisation and coverage analytics platform.

Good to Have :

- Experience integrating Static Application Security Testing (SAST), Software Composition Analysis (SCA), and Dynamic Application Security Testing (DAST) into API pipelines.

- Exposure to AI-driven test optimisation, intelligent test selection, and self-healing test automation.

What Success Looks Like :

- Maintain dependable, reusable API automation coverage.

- Enable repeatable test execution through CI/CD integration.

- Improve test reliability through effective dependency mocking and clear framework documentation.

- Contribute to team capability through mentoring and practical adoption of AI-assisted QE workflows.