Senior Software Engineer, AI Infrastructure
Mirantis · Remote, USA, United States · posted Sep 15, 2026
Open to candidates in United States
What this role actually asks for
Extracted by RemoteHuntMust have
- •5+ years software engineering experience
- •Deep hands-on Kubernetes experience
- •Strong Go programming skills
- •Solid CI/CD and IaC skills
- •Experience with AI-assisted development tools
Nice to have
- •Inference performance work
- •Enterprise deployment experience
- •UI development experience
- •Open-source contributions
Tools and technologies
The full posting
Company Description
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/
Job 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.
Qualifications
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
Additional Information
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)!
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