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Senior Software Engineer, AI Infrastructure

🔥 5 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

đźź  Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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đź‘» Ghost score 21%

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Logo of Mirantis

Mirantis

501 - 1000 employees

đź’Ľ Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

đź“‹ Description

• Design and build LLM serving infrastructure on Kubernetes • Implement deployment, GPU scheduling, scaling, and model lifecycle management • Package the platform for enterprise environments using Helm-based installs and upgrades • Support deployments in restricted and offline networks • Integrate the serving layer with API gateway, identity, and metering services • Build observability for production GPU inference, including serving metrics and GPU telemetry • Contribute across a multi-service codebase • Help set engineering direction through design documents and code reviews

🎯 Requirements

• 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 • 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, including Claude Code and OpenAI Codex, as part of daily engineering workflow • Comfortable working with high autonomy on a small, remote-first, written-culture team • Nice to have: inference performance work, including quantization, batching, or caching • Nice to have: distributed serving frameworks • Nice to have: enterprise deployment experience, including air-gapped installs, SSO/OIDC, and supply-chain security • Nice to have: UI development experience, such as React/TypeScript • Nice to have: open-source contributions in Kubernetes or ML-infrastructure ecosystems

🏖️ Benefits

• Professional development and training • Conference and working group attendance • Company outings, happy hours, hackathons, and tech talks • Competitive compensation package with a strong benefits plan • Opportunity to work with passionate colleagues and Fortune 500 and Global 2000 customers • Open-source innovation environment • Continuous growth environment

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