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# Senior Software Engineer, AI Infrastructure

- **Company:** Mirantis, Inc.
- **Location:** Remote, OR, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Continuous Integration, Distributed Systems, Design of User Interfaces, OpenID, Software Engineering, TypeScript, AI Infrastructure, ReactJS, Large Language Models, Kubernetes Helm Charts, Build Management, Kubernetes, Free and Open-Source Software, Api Gateway
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/usf8ae931b5cf27ac279a64a12080d6430

## About the Role

5+ years of software engineering experience in infrastructure, platform, or distributed systems.
Deep hands-on Kubernetes experience: building and operating production workloads and Helm charts, not just consuming managed clusters.
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.
Fluency with AI-assisted development tools (Claude Code, OpenAI Codex) as part of your daily engineering workflow.
Comfortable with high autonomy on a small, remote-first, written-culture team.
Nice to have
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.

## Description

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.
What you'll do
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.


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