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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location increase competition, but seniority and niche GenAI QA skills reduce it.
Role demands deep QA, cloud-native and GenAI testing expertise, making cross-industry transferability limited.
Explicit 13–18 years, senior managerial level, and mandatory GenAI and deep QA technical skills enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead quality engineering delivery for AI-augmented, cloud-native systems including functional integration, performance, and resilience testing across multiple concurrent workstreams.
Own end-to-end quality strategy from requirements review to production readiness while staying hands-on with code reviews, root cause analysis, and complex test scenario design.
Drive adoption of GenAI-assisted test automation and agentic testing including autonomous agents for test planning, execution, and analysis with human-in-the-loop review mechanisms.
Minimum Requirements
13 to 18 years of relevant work experience.
Mandatory skills include deep hands-on expertise in functional integration and non-functional testing for distributed cloud-native applications and practical experience applying GenAI techniques such as LLM-driven test case generation and self-healing scripts.
Graduation degree required (any discipline).
Work Experience Required: 13 to 18 years
Ideal Candidate Profile
Experienced in leading quality strategies for complex AI-enabled and cloud-native environments combining architectural, coaching, and client engagement responsibilities.
Practically skilled in GenAI technologies and agentic AI application within testing frameworks with hands-on involvement in automation and prompt engineering.
Capable of managing multiple concurrent workstreams with a focus on modern automation tools (Playwright, Cypress, Selenium, Appium, REST-assured) and integrating CI/CD quality gates.