About this role
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.
What we're looking for
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.
What does Mirantis offer you?
Work with an established Silicon Valley leader in the cloud infrastructure industry;Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;Be a part of cutting-edge, open-source innovation;Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;Professional development and training;Attend conferences and working groups;Company outings, happy hours, hackathons, and tech talks;Receive a competitive compensation package with a strong benefits plan.We are a Leader for Container Management in G2 (#2 after AWS)!