
Strategic Automation Engineering Lead
2 days ago
We are seeking a skilled Sr Lead QA Automation Engineer to join our team.
This is an exceptional opportunity to enhance the Enterprise TruRisk Platform with a talented Lead QA Automation Engineer who can deliver roadmap features to measure, communicate, and eliminate cyber risks.
The successful candidate will have the chance to be part of a team building Qualys' next-generation platform using Big Data & Micro-Services technology to process billions of transactions per day.
Responsibilities- Lead automation efforts to achieve maximum coverage.
- Develop automation frameworks using Java (Selenium) and automate big data workflows such as ingestion, aggregation, and ETL processing.
- Debug and troubleshoot issues within the big data ecosystem.
- Set up the Big Data platform and Hadoop ecosystem for testing.
- Define test strategies and write test plans for data platform enhancements and new features/services.
- Establish operating procedures, service monitors, and alerts in collaboration with the NOC team.
- Responsible for system & performance testing of the data platform and applications.
- Solve problems, establish plans, and provide technical consultation in complex engineering projects.
- Review product specifications and write test cases, develop test plans for assigned areas.
- Identify issues and suggest possible solutions.
- Test big data ingestion and aggregation flows using Spark Shell and related queries.
- Implement end-to-end workflow automation using a framework.
- Contribute to Test Automation Development/Enhancement.
- Recreate complex customer-reported issues to determine root cause and verify fixes.
- Leads teams of automation engineers to guide them and achieve end-to-end API, UI, and backend automation.
- 8-10 years of experience in full-time testing roles and 4-6 years in hands-on automation roles as leads.
- Hands-on experience with Java and Selenium.
- Experience with building and designing automation frameworks.
- Hands-on experience in automating backend applications (e.g., databases, REST APIs).
- Knowledge of relational databases and SQL.
- Good debugging skills.
- Working experience in Linux/Unix environments.
- Good understanding of testing methodologies.
- Experience with Big Data technologies like Hadoop, Spark, Kafka, Elastic.
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