Senior Software Engineer, AI Infrastructure

SmartRecruiters, Inc.; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Remote-first team

Conferences & training

Hackathons & tech talks

Job summary

Mirantis is building a new enterprise AI infrastructure product to run and govern large language models on customer Kubernetes clusters. You will join a small senior team with broad ownership of the model-serving layer and its path to production.

You will design and build LLM serving infra on Kubernetes, including deployment, GPU scheduling, scaling, and lifecycle management, while packaging for enterprise readiness and ensuring governance and observability.

Qualifications

• 5+ years of software engineering experience in infrastructure, platform, or distributed systems.
• Deep hands-on Kubernetes experience: production workloads and Helm charts.
• Experience with GPU workloads or LLM inference, or strong adjacent systems experience.

Responsibilities

• 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.

Skills

Go programming

Distributed systems

CI/CD practices

Autonomy

Problem solving

Tools

Kubernetes

Helm charts

CI/CD pipelines

GPU workloads

Open-source contributions

Job description

Senior Software Engineer, AI Infrastructure

• Full-time

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/

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.

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.