Senior QA Engineer, Sustenance

Senior QA Automation Engineer In Sustenance

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

We are looking for a Senior QA Automation Engineer in Sustenance to support and enhance the Enterprise TruRisk Platform—helping customers measure, communicate, and eliminate cyber risks. In this role, you will debug customer-reported issues, validate fixes, and contribute to automation across microservices and big-data components to ensure product stability and high-quality releases.

Responsibilities

• Debug and troubleshoot customer-reported issues across big-data and microservices environments.
• Perform root cause analysis and work closely with development teams to validate and release fixes.
• Follow established processes to keep all stakeholders informed of ongoing activities.
• Design, develop, and maintain automation frameworks using Java, Selenium, and related tools.
• Automate backend workflows including data ingestion, aggregation, and ETL processes (Spark, Hadoop).
• Set up and maintain big-data test environments and Hadoop ecosystem components.
• Build utilities to support deployment teams and improve backend debugging.
• Conduct system, performance, and end-to-end workflow testing.
• Review product specifications and write test cases for assigned areas.
• Identify technical issues, dependencies, and propose solutions.
• Reproduce complex production issues to validate fixes.
• Contribute to automation enhancements and promote an automation-first mindset to reduce manual regression cycles.

Requirements

• 3–7 years of QA experience with strong hands-on automation exposure.
• Excellent debugging and root cause analysis skills.
• Proficiency in Java and Selenium; Playwright experience is a plus.
• Experience designing or enhancing automation frameworks.
• Hands-on experience automating backend systems (databases, REST APIs, server-side workflows).
• Experience integrating automation into CI/CD pipelines.
• Solid understanding of SQL and relational databases.
• Comfortable working in Linux/Unix environments.
• Good to have: Kubernetes experience.
• Strong understanding of QA methodologies and best practices.
• Experience with Big Data technologies (Hadoop, Spark, Kafka, Elastic) is a strong advantage.
• Security domain experience is a plus.