Senior QA Engineer, Sustenance

Overview

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.
  
  
  

• 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.