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Role : Lead QA
Location: Gurgaon/Bangalore
About Delhivery:
Delhivery is India's leading fulfillment platform for digital commerce.. With a technology-first approach, we deliver reliable, scalable, and AI-augmented solutions across web, mobile, and API platforms. We're committed to building a high-quality, automation-driven engineering culture powered by innovation and excellence.
Vision:
To build a future-ready QA function that combines strong engineering practices, cutting-edge automation, and the transformative power of AI.
About the Role:
We're hiring a Lead QA Engineer to drive the quality strategy for our platforms and lead a team of testers and automation engineers. In this role, you'll balance hands-on contributions with mentoring and process ownership, ensuring our releases are stable, scalable, and automation-first.
You'll also guide the team on integrating AI into the QA lifecycle, from intelligent test generation to AI-assisted triage, acting as the catalyst for adopting next-gen QA practices.
What You'll Do:
Define and own end-to-end QA strategy, automation roadmaps, and quality gates across the SDLC.
Architect scalable test automation frameworks across web, mobile, and API surfaces using Selenium, Appium, RestAssured (Java/Python).
Drive adoption of AI-driven testing workflows: story-based test generation, test data generation, and intelligent triage using Copilot, Cursor AI, or Gemini, or any other equivalent AI tool, AWS bedrock, Nova, Codex, or agentic QA tools.
Implement agentic QA flows such as ADO-integrated test case creation or automated bug categorization.
Collaborate with DevOps to ensure testing environments and CI/CD pipelines are optimized for speed and coverage.
Establish test health dashboards, regression analysis, and productivity metrics. Mentor QA engineers in prompt writing, reviewing AI-generated tests, and verifying correctness.
Lead defect triages, RCA reviews, and continuous improvement initiatives. Work closely with Product, Dev, and Engineering Managers to align QA efforts with business goals.
What We're Looking For:
6+ years of QA experience with at least 2 years in a QA leadership or mentoring role. Expertise in functional testing, automation frameworks, CI/CD, and test strategy formulation.
Solid programming background in Java or Python with strong debugging skills. Proven experience in AI tool adoption: Copilot, Cursor AI, Gemini, or any other equivalent AI tool, AWS bedrock, Nova, Codex, and agentic QA workflows. Comfortable guiding teams on AI prompt design, review gates, and automation refinement.
Understanding of DAST security testing, AWS-hosted test environments, and system-level testing.
Excellent stakeholder communication and cross-team collaboration skills.
Why Join Us:
Lead the transformation of QA into an AI-native practice.
Drive innovation in quality with advanced tooling and automation at scale. Empower a high-performing QA team with mentorship and vision.
Work in a fast-paced environment that values innovation, autonomy, and engineering excellence.
Job ID: 134358493