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Qualys • Pune, Maharashtra, India
Role & seniority: Lead QA Automation Engineer (Lead; 8–10 years QA, 4–6 years automation/leadership)
Stack/tools: Java, Selenium; Playwright (nice-to-have); UI, API, backend automation; CI/CD; Kubernetes; big-data: Spark, Hadoop, ETL; SQL; Linux/Unix; Kafka; Elasticsearch
Debug, troubleshoot, and perform RCA on customer-reported issues in microservices and big-data environments; validate fixes
Lead and mentor Sustenance QA team; drive automation across UI, API, and backend workflows; build/maintain automation frameworks
Automate big-data workflows, set up big-data test environments, support deployments with debugging utilities; conduct system, performance, and end-to-end testing
8–10 years QA with 4–6 years automation/leadership; strong debugging/RCA
Experience building automation frameworks and integrating CI/CD
Backend automation (databases, REST APIs); solid SQL; Linux/Unix
Proficiency with Hadoop/Spark and querying big data
Kafka and Elasticsearch knowledge; security-domain experience
Location & work type: Location not specified; work type not specified (information not provided)
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! We’re looking for a Lead QA Automation Engineer to support and enhance the Enterprise TruRisk Platform. In this role, you’ll debug customer‑reported issues, validate fixes, and drive automation across microservices and big‑data components. You’ll also mentor the sustenance QA team and help ensure smooth, high‑quality production releases. What You’ll Do Debug and troubleshoot customer‑reported issues in big‑data and microservices environments Perform root cause analysis and deliver fixes to production Lead and mentor the Sustenance QA team Drive automation across UI, API, and backend workflows Build and maintain automation frameworks (Java, Selenium; Playwright is a plus) Automate big‑data workflows (Spark, Hadoop, ETL pipelines) Set up and maintain big‑data test environments Deployment on QA environments with Kubernetes Orchestration Support deployment teams with debugging utilities (create scripts and utilities which makes debugging easier) Conduct system, performance, and end‑to‑end testing Reproduce complex production issues and validate fixes Promote an automation‑first approach to reduce manual regression What You Bring 8–10 years of QA experience, including 4–6 years in automation and team leadership Strong debugging and RCA skills Experience building automation frameworks and integrating CI/CD Backend automation experience (databases, REST APIs) Solid SQL and Linux/Unix skills Good command on hadoop and querying big data for debugging issues. Nice to Have : kafka and elastic search knowledge Experience in the security domain is a plus Join our talent community and receive the latest Qualys news, content, and be first in line for new job opportunities. Join our Talent Community! Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings.