Senior Software Engineer, AI Infrastructure
Mirantis
- Location
- Remote (Remote, USA)
- Employment
- Full-time
- Level
- Senior Level
About the Role
Mirantis is a Kubernetes-native AI infrastructure company enabling organizations to build scalable, secure, and sovereign infrastructure for modern AI and data-intensive applications. This role involves designing and building LLM serving infrastructure on Kubernetes, including GPU scheduling, scaling, and model lifecycle management.
Skills
Benefits
- Benefits plan
- Competitive compensation package
Perks
- Remote Work
- Professional development
- Conference attendance
- Company outings
- Hackathons
- Tech talks
Full job details
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
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)!