Mirantis
From Mirantis's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
You’ll join a small senior team with broad ownership across both established and brand-new product surfaces.
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.
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.
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)!
It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com
By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.
We are a Leader for Container Management in G2 (#2 after AWS)!
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