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Open nowPosted 21 hours ago

QA LEAD (QA 4)

Lepton Software19 open roles

Where
Gurgaon
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Your applicationOpen nowQA LEAD (QA 4)Lepton Software · Gurgaon

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Lepton Software postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 21 hours ago

Lepton Software median: 7 days open

The posting

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

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