M
Mirantis
Senior Software Engineer (AI Infrastructure)
Skills
ReactTypescriptMachine LearningAIKubernetesSupply Chain
25 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
2 October 2026
What they need
- Mirantis is building a new enterprise AI infrastructure product that lets organizations run and govern large language models on their own Kubernetes clusters. You will join a small senior team early, with broad ownership of the model-serving layer and its path to production
- Design and build LLM serving infrastructure on Kubernetes: deployment, GPU scheduling, scaling, and model lifecycle management
- Package the platform for enterprise environments: Helm-based installs, upgrades, and restricted/offline networks
- Integrate the serving layer with the platform’s API gateway, identity, and metering services
- Build the observability for operating GPU inference in production (serving metrics, GPU telemetry)
- Contribute across a multi-service codebase and help set engineering direction through design docs and reviews- 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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