Analyzes product specifications to derive comprehensive and testable acceptance criteria.

Collaborates with product managers and developers to clarify requirements and identify potential edge cases.

Designs, implements, and maintains a robust suite of automated tests, including end-to-end, integration, and regression tests.

Performs manual testing for complex or new features prior to the establishment of full automation coverage.

Monitors, analyzes, and improves test coverage, reliability, and performance over time.

Contributes to the continuous integration and continuous deployment (CI/CD) process by integrating automated tests into the deployment pipeline.

Enhances overall product quality by creating detailed bug reports, providing constructive feedback, and maintaining clear testing documentation.

Designs and deploys AI-assisted testing workflows to automate recurring tasks such as test case generation, test data synthesis, and log analysis.

Evaluates and integrates LLM-based testing and coding tools into the QA team's workflow, assessing their reliability, accuracy, and fitness for automated testing and edge-case discovery use cases.

Proven experience as a Senior QA Engineer (5+ Years of experience) or similar role, specifically testing modern web applications and backend services.

Strong proficiency with test automation frameworks such as Cypress, Playwright, or similar tools.

Deep understanding of backend services, APIs (REST and GraphQL), and their common failure scenarios.

Ability to read and comprehend frontend and backend code to assist in debugging and test creation.

Familiarity with version control systems (Git) and CI/CD tools and processes.

Hands-on experience with AI agent frameworks (e.g., LangChain, LlamaIndex, CrewAI, or similar) and demonstrated ability to build, deploy, or thoroughly validate agent-assisted testing systems in a near-production context.

Proactive and highly detail-oriented mindset.

Advanced proficiency in the English language.