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.
- 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.
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)!