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