Actively participate in container and virtualization-related projects and communities like Kubernetes, Red Hat OpenShift, and KubeVirt
Develop and implement new features; contribute to open source projects in Golang, Python.
Collaborate with team leads, architects, and other engineers on the design and architecture of our offerings
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
Work with Red Hat's Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
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.
Requirements
5+ years of professional software engineering experience
Bachelor’s degree or higher in Computer Science, Engineering, or a related field (or equivalent experience)
Demonstrated experience working in a Linux environment with Golang
Proficient in a container ecosystem like Docker, Kubernetes, Red Hat OpenShift.
Solid understanding of microservices architectures and concepts including APIs, versioning, monitoring, etc.
Ability to examine various technological areas deeply and deliver solutions
Experience with AI frameworks and tooling
Excellent debugging skills
Proficient written and verbal communication skills in English.
Utilize 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.