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
