Senior Software Engineer, AI Infrastructure
Remote · USFull-timePosted 2 days agoStill listed 2 days ago
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Job overview
Mirantis is seeking a Senior Software Engineer to build and operate Kubernetes-based AI infrastructure for LLM serving. The role includes GPU scheduling, scaling, model lifecycle management, enterprise packaging, platform integrations, and production observability. The engineer will contribute across a multi-service codebase and help shape engineering direction on a small, remote-first team.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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
What you'll do
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Design and build LLM serving infrastructure on Kubernetes: deployment, GPU scheduling, scaling, and model lifecycle management.
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Package the platform for enterprise environments: Helm-based installs, upgrades, and restricted/offline networks.
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Integrate the serving layer with the platform's API gateway, identity, and metering services.
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Build the observability for operating GPU inference in production (serving metrics, GPU telemetry).
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Contribute across a multi-service codebase and help set engineering direction through design docs and reviews.
Qualifications
What we're looking for
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5+ years of software engineering experience in infrastructure, platform, or distributed systems.
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Deep hands-on Kubernetes experience: building and operating production workloads and Helm charts, not just consuming managed clusters.
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Experience with GPU workloads or LLM inference, or strong adjacent systems experience and a track record of learning fast.
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Strong Go programming skills; solid CI/CD and infrastructure-as-code skills.
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Fluency with AI-assisted development tools (Claude Code, OpenAI Codex) as part of your daily engineering workflow.
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Comfortable with high autonomy on a small, remote-first, written-culture team.
Nice to have
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Inference performance work (quantization, batching, caching) or distributed serving frameworks.
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Enterprise deployment experience: air-gapped installs, SSO/OIDC, supply-chain security.
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UI development experience (e.g. React/TypeScript), useful as the product's management surfaces grow.
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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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