Lead QA Engineer (Onsite)

About Delhivery:

Delhivery is Indias 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