Overview
Location - Bangalore/Gurgaon
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:
● 7+ 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.