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Senior Product Operations Engineer - Openshift

Red Hat

$116,270 - $191,840
Aug 29, 2025
Boston, MA, USA • Raleigh, NC, USA • Durham, NC, USA • Lowell, MA, USA
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The Red Hat Portfolio Lifecycle Management (PLM) team is seeking a Senior Product Operations Engineer to improve the user experience across the entire product lifecycle, with a focus on OpenShift Container Platform and related technologies.

Requirements

  • Experience with CI/CD automation using tools such as Chef, Puppet, Ansible, or Jenkins
  • Strong troubleshooting skills, creative problem-solving ability, and effective time management
  • Ability to read and write code (strongly preferred)
  • Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.
  • Familiarity with data analysis tools (e.g., Tableau) and version control tools (e.g., Git, GitHub) is a plus
  • Experience contributing to upstream open source projects is a plus

Responsibilities

  • Use data to identify customer trends and guide product roadmap priorities
  • Develop reusable, self-service solutions to address recurring incidents
  • Break down complex technical issues into actionable improvements
  • Select effective methods and techniques to resolve issues efficiently
  • Analyze upstream development against current customer-reported defects
  • Promote and apply best practices for sustainable, long-term solutions

Other

  • 5+ years’ experience as a support, sustaining, or development engineer or equivalent enterprise-level technical role
  • Bachelor’s degree in computer science or related field, or equivalent work experience
  • Self-motivated learner who adapts quickly and contributes to team success
  • Passion for technology and delivering exceptional customer experiences
  • Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices