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Software Engineer

Red Hat · Raleigh · On-site

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About Red Hat

Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies. Backed by Greylock and Menlo.

About the role

The salary range for this position is $112,902 - $154,190 /year. Actual offer will be based on your qualifications.

What they're looking for

  • Write unit and integration tests and work with quality engineers to ensure product quality
  • Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
  • Mentor junior engineers through hands-on technical training while providing expert guidance on upstream open-source contributions, feature integration, and cross-system interoperability
  • 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
  • Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
  • Give thoughtful and prompt code reviews
More about this role

*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, LLC office in Raleigh, NC.

Contribute to the architecture, design, development, and testing of new software features and solutions for RHOAI. Innovate in the MLOps domain by participating in upstream communities, such as KServe and llm-d. Ensure non-functional requirements are met, including security, resiliency, and maintainability.

  • Write unit and integration tests and work with quality engineers to ensure product quality.
  • Use CI/CD best practices to deliver solutions as productization efforts into RHOAI.
  • Mentor junior engineers through hands-on technical training while providing expert guidance on upstream open-source contributions, feature integration, and cross-system interoperability.
  • 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.
  • Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into...

Read the full posting on Red Hat's site ↗

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