Spatial Alphabet - Senior Quality Engineer - API/Automation Testing

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.