Senior Software Engineer

• 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.

• 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.

• Work with an established 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.
• Receive a competitive compensation package with strong benefits plan.
• We are a Leader for Container Management in G2 (#2 after AWS)!

About Mirantis

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy., 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.