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Lead QA Engineer

Qualys
Pune, IND
Full-time
Lead · 8+ years experience
Onsite
Discovered 1 weeks ago
cypressdockergithub-actionsgrafanajavajavascript

Full Job Posting

Responsibilities

  • QA Mentorship & Strategy
  • Mentor and guide QA and automation engineers through technical coaching, code reviews, and knowledge sharing.
  • Define and own the end-to-end test strategy for legacy components by improving automation coverage, while ensuring all new components are fully automated from the start.
  • Act as the quality voice in sprint planning, design reviews, and release readiness; make data-backed go/no-go recommendations.
  • Establish scalable QA processes: defect triage, severity/priority standards, regression tiers, test case management, and root-cause analysis for escaped defects.
  • Track and report quality metrics (defect leakage, automation coverage, flaky-test rate, mean time to detect, release cycle time) to engineering and product leadership.
  • Partner closely with Development, Product, Support, and Sustenance teams to shift quality left and reduce customer-reported issues.
  • Test Automation (Hands-On)
  • Architect and evolve automation frameworks across React/TypeScript front ends, Java/Spring Boot microservices, REST APIs, and Kafka-based pipelines.
  • Own API and contract testing (REST Assured, Pact, Postman/Newman) covering OAuth2, JWT, token, and Basic auth flows, pagination, throttling, and vendor error handling.
  • Own CI/CD quality gates in Jenkins or GitHub Actions with fast PR-level feedback and tiered regression runs.
  • AI-Driven & Self-Healing Automation
  • Lead the design and rollout of self-healing automation: automatic locator recovery, DOM-similarity scoring, element fingerprinting, and confidence-based fallback that keeps suites green through UI changes.
  • Apply LLMs across the QA lifecycle — generating test cases from requirements and API specs, converting manual tests to automated scripts, summarizing failures, and suggesting root causes from logs.
  • Build intelligent flaky-test detection, failure classification, and auto-quarantine to separate real regressions from environmental noise.
  • Set guardrails for AI use in QA — validating AI-generated tests, measuring healing accuracy, and preventing false passes.

Experience

  • 8-10+ years in QA / test engineering, with at least 2 years leading or mentoring a QA team.
  • Proven track record of building automation frameworks from scratch and owning release quality for a SaaS product.
  • Hands-on experience building, extending, or productionizing an AI-based or self-healing automation solution, with the ability to explain how you measured its impact.
  • Automation & Testing
  • Robot, Playwright and/or Selenium 4; TestNG or JUnit 5; Cypress, Jest, or Vitest
  • API automation: REST Assured, Postman/Newman, schema validation
  • Contract testing (Pact), service virtualization, and mocking (WireMock or similar)
  • Performance testing with JMeter, k6, or Gatling
  • Visual regression and accessibility testing
  • Programming & Backend
  • Python, Java(17+) and JavaScript/TypeScript
  • SQL and data validation on Oracle or similar
  • Familiarity with microservices, Spring Boot, and Kafka (or other event streaming systems)
  • AI in QA
  • Self-healing locator strategies and intelligent element matching
  • LLM integration: prompt design, structured outputs, and embedding model calls into test tooling
  • AI-assisted test generation, failure clustering, and log/trace summarization
  • Working knowledge of AI testing platforms (Healenium, Applitools, mabl, Testim)
  • DevOps & Tooling
  • CI/CD with Jenkins or GitHub Actions
  • Docker and Kubernetes fundamentals
  • Test management (Jira/Xray, TestRail, or Zephyr)
  • Observability tools (Grafana, Prometheus, ELK) for test and pipeline diagnostics
  • Technical Mentorship
  • Strong ability to mentor engineers through technical guidance and code reviews
  • Clear communication with engineering, product, and leadership stakeholders
  • Data-driven decision-making on quality and release readiness
  • Background in cybersecurity — vulnerability management, Policy Compliance
  • Experience testing multi-tenant SaaS at large data volumes.
  • Open-source contributions to testing or automation projects.

Skills

  • Automation & Testing
  • Robot, Playwright and/or Selenium 4; TestNG or JUnit 5; Cypress, Jest, or Vitest
  • API automation: REST Assured, Postman/Newman, schema validation
  • Contract testing (Pact), service virtualization, and mocking (WireMock or similar)
  • Performance testing with JMeter, k6, or Gatling
  • Visual regression and accessibility testing
  • Programming & Backend
  • Python, Java(17+) and JavaScript/TypeScript
  • SQL and data validation on Oracle or similar
  • Familiarity with microservices, Spring Boot, and Kafka (or other event streaming systems)
  • AI in QA
  • Self-healing locator strategies and intelligent element matching
  • LLM integration: prompt design, structured outputs, and embedding model calls into test tooling
  • AI-assisted test generation, failure clustering, and log/trace summarization
  • Familiarity with RAG or vector search over test artifacts is a plus
  • Working knowledge of AI testing platforms (Healenium, Applitools, mabl, Testim)
  • DevOps & Tooling
  • CI/CD with Jenkins or GitHub Actions
  • Docker and Kubernetes fundamentals
  • Test management (Jira/Xray, TestRail, or Zephyr)
  • Observability tools (Grafana, Prometheus, ELK) for test and pipeline diagnostics
  • Technical Mentorship
  • Strong ability to mentor engineers through technical guidance and code reviews
  • Clear communication with engineering, product, and leadership stakeholders
  • Data-driven decision-making on quality and release readiness
  • Preferred
  • Background in cybersecurity — vulnerability management, Policy Compliance
  • Experience testing multi-tenant SaaS at large data volumes.
  • Open-source contributions to testing or automation projects.

Preferred Qualifications

  • Familiarity with RAG or vector search over test artifacts is a plus
  • Preferred

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