- Minimum 5 years of experience in QA or Software Testing, preferably in SaaS or data-heavy environments.

- Proven expertise in manual and automated testing for web and mobile applications.

- Strong grasp of SDLC, STLC, and QA methodologies in agile setups.

- Hands-on with automation frameworks like Selenium, Playwright, Cypress, or PyTest.

- Proficient in API testing tools such as Postman, Newman, or REST Assured.

- Experienced with SQL (PostgreSQL preferred) for data validation and backend testing.

- Familiar with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS).

- Strong analytical and debugging skills with a focus on root cause analysis.

- Excellent documentation, communication, and cross-team collaboration skills.

- Define and implement QA strategy, frameworks, and test automation across mobile, web, and API layers.

- Develop and maintain comprehensive test plans, cases, and scripts for functional, integration, performance, and regression testing.

- Perform API (REST/GraphQL) testing, data validation, and backend verification for large-scale, data-driven systems.

- Validate complex workflows involving geospatial data, field inputs, soil reports, IoT integrations, and ML-based outputs.

- Collaborate with developers, product managers, and DevOps teams to ensure release quality and stability.

- Own defect triage and track quality metrics throughout the release lifecycle.

- Drive automation adoption and embed testing in CI/CD pipelines (GitHub Actions, Docker, Kubernetes).

- Contribute to QA documentation, best practices, and continuous quality improvement initiatives.