Lead QA Engineer

Qualys; Maharashtra; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Qualys is seeking a Lead QA Engineer in Maharashtra to own platform quality across UI, backend, and data pipelines. You will lead a QA/automation team, set the test strategy, and drive AI-assisted, self-healing automation while writing and reviewing framework code.

You will shape end-to-end quality for releases, partner with Dev, Product, and Support, and drive metrics that improve defect leakage and release readiness.

Qualifications

• 5–8 years in QA / test engineering, with at least 2 years leading or mentoring a QA team.
• Track record of building automation frameworks from scratch and owning release quality for a SaaS product.
• Hands-on experience building AI-based self-healing automation and ability to explain impact.

Responsibilities

• Lead, mentor, and grow a team of 4–8 QA and automation engineers; run hiring, goal-setting, code reviews, and career development.
• Define and own the end-to-end test strategy for connector and platform releases — test planning, risk assessment, coverage targets, and entry/exit criteria.
• Act as the quality voice in sprint planning, design reviews, and release readiness; make clear go/no-go recommendations backed by data.
• Establish QA processes that scale: 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.

Skills

Leadership

Playwright/Selenium

API testing

Contract testing

Performance testing

JavaScript/TypeScript

Education

Hands-on AI/self-healing automation

Tools

Playwright

Selenium

REST Assured

Pact

Postman/Newman

Jenkins/GitHub Actions

Job description

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Qualys is looking for a Lead QA Engineer to own quality for a platform that ingests assets, findings, and risk signals from dozens of third‑party security vendors ore — and normalizes them into a single risk model used by thousands of enterprise customers.

You will lead a team of QA and automation engineers, define the test strategy across UI, backend, and data pipelines, and drive our move toward AI‑assisted, self‑healing automation. This is a hands‑on leadership role: you set direction, make release‑quality calls, and still write and review framework code. Candidates who have built or meaningfully enhanced AI‑based self‑healing automation tools will stand out.

Responsibilities

• Lead, mentor, and grow a team of 4–8 QA and automation engineers; run hiring, goal‑setting, code reviews, and career development.
• Define and own the end‑to‑end test strategy for connector and platform releases — test planning, risk assessment, coverage targets, and entry/exit criteria.
• Act as the quality voice in sprint planning, design reviews, and release readiness; make clear go/no‑go recommendations backed by data.
• Establish QA processes that scale: 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/GraphQL APIs, and Kafka‑based pipelines.
• Build resilient UI automation with Playwright or Selenium 4, including parallel execution and reliable test data management.
• Own API and contract testing (REST Assured, Pact, Postman/Newman) covering OAuth2, JWT, token, and Basic auth flows, pagination, throttling and vendor error handling.
• Validate data end‑to‑end: ingestion → normalization → PostgreSQL persistence → aggregation → UI, including schema and migration regression.
• Build mock vendor APIs and record‑replay harnesses so connector tests run without live third‑party credentials.
• 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.
• Introduce risk‑based and change‑impact test selection so CI runs the tests most relevant to each change.
• Evaluate AI testing tools (Healenium, Applitools, mabl, Testim, or in‑house builds) and decide build‑vs‑buy based on accuracy, cost, and maintainability.
• Set guardrails for AI use in QA — validating AI‑generated tests, measuring healing accuracy, and preventing false passes.

Qualifications

Experience

• 5–8 years in QA / test engineering, with at least 2 years leading or mentoring a QA team.
• 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 — and the ability to explain how you measured its impact.

Skills

Automation & Testing

• Playwright and/or Selenium 4; TestNG or JUnit 5; Cypress, Jest, or Vitest
• API automation: REST Assured, Postman/Newman, GraphQL testing, 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

• Strong Java (17+) and JavaScript/TypeScript; Python is a plus
• SQL and data validation on PostgreSQL or similar
• Familiarity with microservices, Spring Boot, and Kafka or other event streaming systems

AI & Machine Learning in QA

• Self‑healing locator strategies and ML‑based 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

Leadership

• Test strategy and planning for complex, multi‑component releases
• People leadership: hiring, mentoring, performance feedback
• Clear communication with engineering, product, and leadership stakeholders
• Data‑driven decision‑making on quality and release readiness

Preferred

• Background in cybersecurity — vulnerability management, CSPM, EDR, SIEM, or identity.
• Experience testing multi‑tenant SaaS at large data volumes.
• ISTQB Advanced / Test Manager certification.
• Open‑source contributions to testing or automation projects.