Additionalinformation

Additional Information

Why you’ll love Mirantis

• Work with an established 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.
• Receive a competitive compensation package with strong benefits plan.
• We are a Leader for Container Management in G2 (#2 after AWS)!

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We are a Leader for Container Management in G2 (#2 after AWS)!

Companydescription

Company Description

About Mirantis

Mirantis 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.

Jobdescription

Job Description

As Principal Software Engineer, you are the senior technical voice for Enterprise AI. You own its architecture together with the teams that share the platform, and set the technical bar for a small, senior, remote-first team.

• Own the architecture across the AI gateway, control plane, model serving, identity, metering and observability, for hosted and installed editions.

• Lead the gateway strategy, including the data plane choice and policy-based routing with per-request metering and audit records.

• Set direction for LLM serving on Kubernetes: GPU scheduling and sharing, autoscaling, multi-tenant and disaggregated serving, and cost per token.

• Define how enterprises run the product: Helm installs and upgrades, air-gapped networks, preflight checks and supply-chain security.

• Run design reviews, make build vs. buy calls, and record decisions as ADRs.

• Build hands-on in the critical path, and mentor senior engineers, including on AI-assisted development.

• Work with design partners and customers, and represent Mirantis in the Kubernetes and ML-infrastructure communities.

Qualifications

• 10+ years in infrastructure or distributed systems, including several as technical lead.

• Shipped multi-service systems that enterprises run in production, including software they install themselves.

• Expert Kubernetes: operators, CRDs, scheduling, Helm, and debugging at scale.

• Production experience with GPU workloads, LLM inference or AI gateways

• Expert Go, strong Python, and solid CI/CD and infrastructure as code.

• Leads through writing and influence, uses AI-assisted development tools fluently, and thrives with autonomy on a distributed team.

Nice to have

• Inference performance work: quantization, batching, KV-cache management, disaggregated prefill and decode.

• AI gateway or LLM routing: failover, rate limiting, token metering, policy enforcement.

• Took a new product to its first enterprise customers.