Systems Engineer II

Job Description

We are seeking a Linux Systems Engineer with a strong background in automation, Java development/scripting, and emerging AI-driven solutions. This role sits at the intersection of Linux administration, intelligent automation, and QA efficiency, working closely with our automation and AI teams to modernize and scale our systems and testing practices. You will collaborate with peers locally in Denver and with our Automation team in St.

Louis, contributing to initiatives focused on agentic AI, CI/CD automation, and improving QA analysis through smarter, more efficient tooling.

• Linux Systems & Automation:
  Administer, support, and optimize Linux-based environments used for application delivery, automation, and AI workloads. Design, build, and maintain automation frameworks using Java and scripting to streamline operational and QA workflows. Support and monitor automated agents, including agentic AI systems, ensuring stability, performance, and accuracy.
• AI & Intelligent Automation:
  Partner with the automation and AI teams to expand the use of AI-driven solutions, including agent-based automation. Review, validate, and improve AI-generated outputs, agent behavior, and supporting documentation. Help integrate AI capabilities into existing automation pipelines and system workflows. Support message-driven and asynchronous workflows (e.g., Amazon Queue–based integrations).
• Testing Enablement:
  Create and maintain automated and manual test frameworks aligned with development and QA needs. Translate Jira stories and tasks into executable test cases, identifying opportunities to automate versus manualize. Improve overall QA analysis efficiency by identifying repeatable patterns and automating them.

• Strong experience as a Linux Systems Administrator or Engineer
• Solid foundation in Java development and/or Java-based scripting
• Hands-on experience with automation frameworks and scripting
• Experience working with Jira, including test case creation and tracking
• Understanding of QA processes and test automation concepts
• Experience working with AI-enabled automation or agentic AI systems

• Familiarity with CI/CD pipelines and modern Dev Ops practices
• Background in improving or scaling QA automation and analysis workflows