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Open nowPosted 28 hours ago

Senior Software Engineer, AI Infrastructure

Mirantis87 open roles

Where
Remote, USA, United States
Work mode
Remote
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Your applicationOpen nowSenior Software Engineer, AI InfrastructureMirantis · Remote, USA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Mirantis postings stay open a median of 27 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 34.0%30 days
This job: posted 28 hours ago

Mirantis median: 27 days open

The 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

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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