Red Hat-posted 3 days ago
$116,270 - $191,840/Yr
Full-time • Mid Level
Raleigh, NC
Professional, Scientific, and Technical Services
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Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation? The Red Hat OpenShift AI (RHOAI) team is looking for a Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.

  • Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI
  • Contribute to cutting edge technologies, and emerging technologies like model context protocol (MCP)
  • Ensure non-functional requirements including security, resiliency, and maintainability are met
  • Write unit and integration tests and work with quality engineers to ensure product quality
  • Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
  • Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
  • Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
  • Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality
  • Own the implementation, upstream contribution, and open source legacy of these cutting edge technologies
  • Innovate in the MLOps domain by participating in upstream communities (Kubeflow, MlMD, llama-stack)
  • Minimum of 3 years of experience developing applications in Go or Python, or other language
  • Experience in Kubernetes, OpenShift or other cloud-native technologies
  • Ability to quickly learn and use new tools and technologies
  • Experience with source code management tools such as Git
  • Good system understanding and troubleshooting capabilities
  • Ability to work independently in a fast-paced, ever-changing environment
  • While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
  • Understanding of how Open Source and Free Software communities work
  • Experience with development for public cloud services (AWS, GCE, Azure)
  • Experience working with or deploying MLOps platforms
  • Excellent written and verbal communication skills
  • Comprehensive medical, dental, and vision coverage
  • Flexible Spending Account - healthcare and dependent care
  • Health Savings Account - high deductible medical plan
  • Retirement 401(k) with employer match
  • Paid time off and holidays
  • Paid parental leave plans for all new parents
  • Leave benefits including disability, paid family medical leave, and paid military leave
  • Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
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