Key skills
PythonGolangAIClaudeGeminiAzureKubernetesDockerOpenShiftGitHubCommunication
About this role
Red Hat is the world’s leading provider of enterprise open source software solutions, and they are seeking a Software Engineer to join their Azure Red Hat OpenShift (ARO) Engineering team. In this role, you will focus on the ARO HCP project, contributing to the engineering of features related to Kubernetes deployment and life cycle management.
Responsibilities:
- 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:
- 3+ 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
- Experience with cloud development
- Familiarity with virtualization, networking, or storage
- Background in DevOps or site reliability engineering (SRE)
- Experience with open source development