QA LEAD (QA 4)

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.

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.

•    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

•    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

•    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

•    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

•    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

•    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

•    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

•    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

•    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

•    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

•    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

•    Deep expertise in Jira workflows, dashboards, and reporting

•    Strong understanding of Agile/Scrum QA processes

•    Experience in defining quality gates and release criteria

•    Experience in performance testing tools (JMeter, k6, etc.)

•    Good understanding of backend systems, APIs, and databases

•    Ability to validate complex workflows and distributed systems

•    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.)

•    Bachelor’s degree in Computer Science / Engineering

•    ISTQB or equivalent certifications are a plus

•    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

•    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

•    Fast-paced, growth-focused environment

•    Opportunity to drive processes independently