Senior Software Engineer, AI Infrastructure
At a glance
Senior ML Platform & Ops role at Mirantis. Remote, United States · full-time · no salary stated · we estimate $180,000–$245,000 across the United States.
Mirantis has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build Kubernetes-based infrastructure to deploy and scale LLM serving, schedule GPUs and manage model lifecycles
- Package the platform with Helm for enterprise installation, updates and use in restricted or offline networks
- Connect model serving to the platform's API gateway, identity and metering services
- Add production monitoring for GPU inference, including serving measurements and GPU telemetry
- Contribute to the multi-service codebase and shape engineering decisions through design documents and reviews
What you bring
- At least five years building software in infrastructure, platform or distributed-systems roles
- Hands-on Kubernetes work running production workloads and building Helm charts
- Strong Go skills, plus practical CI/CD and infrastructure-as-code experience
- Daily use of AI coding tools such as Claude Code or OpenAI Codex
Who this fits
This senior role suits an autonomous engineer comfortable contributing across services and working on a small, remote-first team that relies on written communication. GPU or LLM inference experience is useful, though adjacent systems experience paired with quick learning is also considered.
From the employer
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/
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.
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.
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.
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