Mirantis · Remoto · United States
Join Mirantis, a leading enterprise cloud company, as a Senior Software Engineer focused on AI infrastructure. You will be part of a small, senior team responsible for designing and building the LLM serving infrastructure on Kubernetes. Your work will involve packaging the platform for enterprise environments, integrating the serving layer with the platform's API gateway, and building observability for GPU inference in production. You should have strong Go programming skills, deep hands-on Kubernetes experience, and a track record of learning fast.
- Experience with GPU workloads or LLM inference, or strong adjacent systems experience and a track record of learning fast
- Strong Go programming skills; solid CI/CD and infrastructure-as-code skills
- 5+ years of software engineering experience in infrastructure, platform, or distributed systems
- Fluency with AI-assisted development tools (Claude Code, OpenAI Codex) as part of your daily engineering workflow
- Deep hands-on Kubernetes experience: building and operating production workloads and Helm charts, not just consuming managed clusters
- Comfortable with high autonomy on a small, remote-first, written-culture team
- Inference performance work (quantization, batching, caching) or distributed serving frameworks
- Enterprise deployment experience: air-gapped installs, SSO/OIDC, supply-chain security
- UI development experience (e.g. React/TypeScript), useful as the product's management surfaces grow
- Open-source contributions in the Kubernetes or ML-infrastructure ecosystems
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