SDET II
QA Engineer focused on web platform and API testing. Owns quality for UI, APIs, and backend services through manual testing, automation, and CI/CD integration.
What you'll do
- Own and drive quality for web platform features, spanning UI, APIs, and backend services
- Design and execute manual test cases and exploratory testing for complex web and API workflows
- Conduct thorough regression testing when bugs are resolved
- Build and maintain automated test suites for frontend–backend integration, data consistency, and error handling
- Perform API contract testing, schema validation, and negative/edge-case testing
- Collaborate with engineers during design, implementation, and code reviews to improve testability and catch issues early
- Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback
- Analyze test failures, investigate root causes, and drive issues to resolution
- Advocate for quality best practices, including shift-left testing, risk-based testing, and automation strategy
- Identify, document, and track software defects using bug tracking tools like Jira
Requirements
- Degree in computer science, engineering, or a related field or equivalent experience
- Experience in QA / Quality Engineering, with a strong focus on web platforms and APIs
- Proven hands-on experience with manual testing of complex, consumer-facing web applications
- Strong experience building and maintaining API tests using tools such as Postman, REST-assured, Supertest, or similar
- Hands-on experience with web automation frameworks (Playwright, Cypress)
- Solid understanding of HTTP, REST and API design principles
- Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
- Experience working in Agile/Scrum environments
- Strong debugging, analytical, and communication skills
- Strategic partnership with stakeholders / Cross-functional collaboration that is high-trust and high-velocity
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
Nice-to-Haves
- Experience testing large-scale, high-traffic web platforms
- Familiarity with React or modern frontend frameworks
- Experience with performance, load, or reliability testing for APIs and web applications
- Exposure to feature flags, experimentation platforms, or observability tools
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