Senior Software Engineer, AI Infrastructure

Requirements

• 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.

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. 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)!

Mirantis, an IREN company, 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. https://www.mirantis.com/