QA LEAD (QA 4)

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