Description

About the job

Requirements

4+ years in QA with a clear bias toward automation and tooling over manual execution.
Strong hands-on experience with Playwright (or equivalent modern framework — Cypress, etc.) for UI and API automation.
Proficiency in JavaScript/TypeScript and API testing with Postman/Insomnia. ● Working fluency in LLM-powered development workflows (Claude Code, Cursor, Copilot, or similar) for test generation, debugging, and review.
Grasp of AI/ML fundamentals — prompt engineering, context management, and evaluating LLM outputs for correctness and reliability.
Comfort in an agent-driven environment where AI agents are first-class collaborators across coding, testing, and operations.
Treats AI agents as collaborators, not tools — knows when to trust, verify, or override their output.
Solid SQL for data validation and a working understanding of API/backend test lifecycles.
CI tooling experience (GitHub Actions, Jenkins).
Agile/Scrum experience and clear async communication for remote, cross-functional work.

Nice to Have

● Built MCP servers or custom Claude skills/tools to extend AI agent capabilities.

● Exposure to agentic test orchestration — autonomous agents that plan, execute, and adapt test runs based on code or requirement changes.

● Familiarity with AI-based observability and anomaly detection for proactive regression monitoring.

● Experience measuring AI-assisted productivity metrics (test creation velocity, coverage uplift, defect escape rate).

● Prior work on distributed systems, event-driven architecture, or B2B SaaS platforms.

● CI tooling experience (GitHub Actions, Jenkins).

Key Skills

Education

Any Graduate