Senior Software Engineer, UI

The Enterprise UI team owns the consoles for these products, including Mirantis Kubernetes Engine (MKE) and a new enterprise AI infrastructure product for running and governing large language models. You’ll join a small senior team with broad ownership across both established and brand-new product surfaces.

• Build and evolve management consoles end to end: cluster, node, and workload management in MKE; model deployment, inference endpoints, GPU capacity, quotas, API keys, and usage in our AI product.
• Turn dense operational data into interfaces people trust under pressure: cluster health, serving metrics, GPU telemetry, and cost/metering views that stay honest when workloads are still scheduling or have failed outright.
• Own and extend a shared design system and component library so patterns are solved once and reused across products.
• Integrate with platform APIs (Kubernetes, API gateway, identity, metering); shape those APIs with backend engineers before they harden, and push back early when one will produce a bad user experience.
• Ship UI into enterprise environments: Helm-packaged delivery, versioned upgrades, and restricted or offline networks with no runtime dependency on the public internet.
• Balance new product development with the realities of a mature product: release cycles, upgrades for existing customers, and bug triage.
• Contribute across a multi-service codebase and help set engineering direction through design docs and reviews.

Qualifications

• 5+ years building production web applications, with real depth in React and TypeScript.
• Strong command of modern React and server rendering. Our newest products use Next.js App Router with Server Components and Server Actions, so you should have a clear sense of what belongs on the server and why it matters for security and latency.
• Experience with data-dense operational UI: large tables, filtering, charts, live-updating state, and deliberate handling of loading, partial, and error states.
• Fluency in CSS and token-driven styling (we use Tailwind), and the judgment to work from a design system rather than around it.
• Accessibility and testing treated as part of the definition of done, not a later audit (Vitest, Testing Library, Playwright).
• 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

• Kubernetes or infrastructure-tooling UI experience, and comfort reading Go services and Kubernetes APIs to answer your own questions.
• AI product surfaces: model catalogs, playgrounds, prompt and token usage reporting, streaming responses.
• Ownership of a design system or component library used by more than one application.
• Enterprise deployment experience: air-gapped installs, SSO/OIDC, RBAC-driven interfaces, FIPS or STIG compliance.
• Frontend observability and product analytics (Sentry, OpenTelemetry, PostHog), or open-source contributions in the Kubernetes or ML ecosystems.

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)!

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.