Why This Role Stands Out
This remote Lead QA / AI QA Engineer role offers exciting opportunities to leverage your extensive experience in UI, API, and database testing, with a focus on AI-assisted development using tools like Playwright and GitHub Copilot. You'll thrive here if you possess strong end-to-end testing capabilities and a desire to contribute to impactful projects within the BFSI domain, making this an excellent next step in your career. Apply today to join a dynamic team and advance your skills in cutting-edge QA technologies.
Quick Overview
Job Description
12+ years Lead QA / AI QA Engineer – 3 Openings
Location: Remote
Openings: 3 QA Resources – 3 Different Projects
Start: ASAP / Next Week
Job Description
We are seeking strong QA Engineers / AI QA Engineers with excellent communication skills and a solid LinkedIn presence. Candidates should have hands-on experience across UI, API, and database testing, with proven end-to-end testing capabilities.
Must-Have Skills
- Strong UI, API, and DB testing experience
- Proven End-to-End (E2E) testing experience
- BFSI / Banking / Financial Services domain experience preferred
- Strong hands-on experience with Playwright
- Experience using GitHub Copilot for AI-assisted development/testing
- Experience with Claude Code
- Strong Azure experience
- Hands-on experience with Azure CLI
- Strong automation and test engineering background
- Excellent communication and collaboration skills
- Ability to work independently and contribute from day one
AI QA Focus
Looking for forward-thinking AI QA professionals who actively use AI tools to improve testing, automation, test coverage, debugging, and overall QA efficiency.
Candidates who have worked with AI-driven testing, LLM applications, AI agents, or Agentic QA frameworks are highly preferred.
Nice to Have
- Experience with Agentic AI frameworks
- AI/LLM application testing
- Prompt validation and evaluation
- AI-assisted test automation
- BFSI domain experience
- CI/CD and Git-based workflows
Ideal Candidate
We need very strong, hands-on candidates who can start quickly, communicate well with clients/teams, and demonstrate practical experience rather than purely theoretical knowledge.
Priority: Strong technical skills + AI QA mindset + excellent communication + solid LinkedIn profile.
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