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:
Validate 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.