Role Summary:

Join GrepEye’s QA team to ensure software quality at scale as our data volumes grow, machine learning models diversify, and system integrations multiply. As a QA Engineer, you’ll be instrumental in catching functional, performance, and accuracy regressions before they reach enterprise clients.

Key Responsibilities:

• Design and execute functional and non-functional test plans for data ingest pipelines, ML models, REST APIs, and web UIs.
• Develop and maintain automated test suites using:
• Playwright / Jest for React front-end testing
• PyTest for machine learning services
• Postman / Newman for REST API validation
• Conduct performance and stress testing:
• Simulate large file uploads (e.g., 100+ MB)
• Test endpoint concurrency
• Analyze and improve UI response latency
• Integrate automated test gates within CI/CD pipelines to:
• Fail builds on ML accuracy drift (e.g., >3%)
• Block UI or backend regressions
• Lead defect triage and root cause analysis sessions, collaborating across Dev and Product teams
• Contribute to continuous quality improvement metrics and dashboards

Required Technical Skills:

• Proficiency in automated testing using TypeScript and Python
• Experience with CI/CD pipelines using GitHub Actions (or similar tools)
• Knowledge of Docker Compose for local development and test environments
• Basic SQL for data integrity checks
• Familiarity with Swagger / OpenAPI specifications for API validation

Nice-to-Have Skills:

• Experience with load testing frameworks such as Locust or k6
• Exposure to mutation testing strategies
• Awareness of OWASP API security best practices
• Familiarity with ML pipeline testing concepts and challenges

Soft Skills:

• Tenacious in reproducing edge cases and tracking down elusive bugs
• Writes clear, concise, and actionable bug reports
• Collaborates closely with Development and Product teams as a partner, not just a gatekeeper
• Detail-oriented with a strong sense of ownership over product quality