QA LEAD (QA 4)
- Location
- Gurgaon, HR, India
- Work mode
- On-site
- Employment type
- Full-time
Skills mentioned
- QA Strategy & Leadership
- Generative AI in Testing
- Test Automation Frameworks
- Selenium/Cypress/Playwright
- API Testing
- Jira Workflow Management
- CI/CD Integration
- Performance Testing
- Java/Python/JavaScript
- Agile/Scrum QA
- Defect Management
- Test Case Generation
Picked out of the job description automatically; check the full description for what the employer asks for.
About the job
Experience: 8 - 12 YEARS
About Lepton Software: Lepton Software is a leading provider of Location Intelligence, Smart Mapping, and GIS-based software solutions, empowering enterprises across Telecom, BFSI, Government, Retail, and Automotive sectors. With over 25+ years of expertise, Lepton delivers innovative geospatial products, network planning solutions, and enterprise-grade digital transformation services across global markets. Our culture encourages ownership, collaboration, continuous learning, and customer-centric innovation.
(A) JOB SUMMARY We are looking for a QA LEAD (QA 4) who will transform quality engineering by leveraging Generative AI, automation, and modern QA practices. This is not a traditional QA role. The candidate will: • Drive AI-assisted test case generation and test optimization • Build automation-first testing systems (UI, API, integration) • Own quality processes, Jira workflows, and release governance • Enable engineering teams to adopt continuous testing and shift-left practices The ideal candidate combines strong QA fundamentals + automation expertise + practical use of GenAI tools to improve speed, coverage, and efficiency.
(B) JOB DUTIES & RESPONSIBILITY
1. QA Strategy & Platform Ownership
- Define and own the quality engineering strategy across products
- Drive shift-left testing, continuous testing, and automation-first culture
- Establish quality benchmarks, SLAs, and release readiness standards
- Standardize QA processes across teams and projects
2. GenAI-Driven Testing (Critical) • Leverage Generative AI tools (e.g., LLMs, Copilot, internal AI tools) to: o Generate test cases from requirements, PRDs, and user stories o Auto-create test scenarios, edge cases, and negative test coverage o Assist in test data generation and synthetic data creation • Use AI for: o Test case optimization and deduplication o Impact analysis (what to test based on code changes) o Defect pattern analysis and prediction • Build internal workflows/prompts/frameworks to scale GenAI usage across QA
3. Test Automation & Frameworks (Critical) • Design and implement scalable automation frameworks: o UI (Selenium, Cypress, Playwright) o API (REST Assured, Postman, Karate) • Drive high automation coverage for regression and critical paths • Integrate automation into CI/CD pipelines (Jenkins, GitLab CI, etc.) • Ensure maintainability, reusability, and speed of automation suites
4. Jira & QA Process Ownership (Critical) • Own and optimize Jira workflows for QA lifecycle: o Requirement → Test Case → Defect → Release tracking • Ensure clear traceability between user stories, test cases, and defects • Define defect lifecycle, severity classification, and SLAs • Build dashboards and reports for: o Test coverage o Defect leakage o Release quality metrics • Drive discipline in sprint QA processes and release governance
5. Test Planning & Execution • Create comprehensive test strategies, test plans, and test scenarios • Ensure coverage across: o Functional o Regression o Integration o UAT • Coordinate with product and engineering for acceptance criteria
6. Performance, API & Non-Functional Testing
- Drive performance testing using tools like JMeter, k6, etc.
- Validate system behavior under load, stress, and edge conditions
- Ensure API reliability and contract validation
- Collaborate on security testing and vulnerability assessments
7. Defect Management & Quality Insights
- Own end-to-end defect lifecycle management
- Analyze defect trends and perform root cause analysis
- Reduce defect leakage into production through preventive measures
- Provide actionable insights to engineering and product teams
8. Developer & Team Enablement
- Enable developers to adopt unit testing and test automation practices
- Mentor QA engineers on automation, GenAI usage, and best practices
- Build a lean, high-impact QA team (less manual, more automation)
- Promote “quality as a shared responsibility” across teams
9. Observability & Continuous Improvement • Define and track quality KPIs (coverage, escape rate, flakiness, MTTR) • Continuously improve QA processes using data and insights • Introduce modern practices like: o Test impact analysis o Risk-based testing o Continuous quality monitoring
(C) QUALIFICATION & SKILLSET
Core QA & Automation • 8–12 years in QA with strong automation experience • Hands-on expertise in: o UI automation (Selenium, Cypress, Playwright) o API testing (Postman, REST Assured, etc.) • Strong programming skills (Java, Python, or JavaScript) • Experience integrating testing into CI/CD pipelines
GenAI in QA (Must-Have) • Practical experience using GenAI tools for testing workflows • Ability to: o Generate test cases using LLMs o Use AI for test optimization and coverage improvement o Build reusable prompts/workflows for QA teams • Understanding of how AI improves speed, coverage, and efficiency in QA
Jira & Process Excellence
- Deep expertise in Jira workflows, dashboards, and reporting
- Strong understanding of Agile/Scrum QA processes
- Experience in defining quality gates and release criteria
Performance & Systems Understanding
- Experience in performance testing tools (JMeter, k6, etc.)
- Good understanding of backend systems, APIs, and databases
- Ability to validate complex workflows and distributed systems
Nice-to-Have
- Experience with cloud platforms (AWS/GCP/Azure)
- Familiarity with Kubernetes and microservices architectures
- Exposure to geospatial/GIS systems
- Experience with test management tools (TestRail, Zephyr, etc.)
EDUCATION
- Bachelor’s degree in Computer Science / Engineering
- ISTQB or equivalent certifications are a plus
LEADERSHIP TRAITS
- Strong ownership mindset (quality = platform responsibility)
- Bias for automation over manual effort
- Data-driven decision making
- Ability to influence engineering and product teams
- Focus on efficiency, scalability, and speed
Why This Role Matters
- You will define how quality is built, not just tested
- Drive adoption of AI-first QA practices
- Direct impact on release velocity and product reliability
- Build a future-ready QA function with high automation and low manual overhead
Why Join Lepton Software:
- Fast-paced, growth-focused environment
- Opportunity to drive processes independently
From Lepton Software's careers page (Keka), checked 3 Nov 2026.
How to apply
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- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Lepton Software will reply to you directly. No real employer asks you for money to apply.
Posted 3 Nov 2026 · checked 3 Nov 2026 · Report this job