Clera
Frontend Engineer - Cluster OS Platform
About this role
A well-funded Kubernetes infrastructure startup seeks a Frontend Engineer to build an intuitive OS-like interface for managing distributed clusters. You'll design visualizations and real-time UIs that make complex infrastructure accessible to both individual users and production teams, working on-site in San Francisco.
What you'll do
- Own the cluster management UI including provisioning flows, natural language interfaces, and real-time system insights
- Design visualization systems that make distributed state legible and actionable at a glance
- Integrate with Kubernetes APIs, GitOps controllers, and gRPC/cRPC backends
- Build real-time reactive UIs using Convex that scale across teams
- Prototype new interaction patterns for infrastructure management and iterate based on feedback
- Establish frontend architecture patterns and code quality standards as an early team member
What they're looking for
- React, Next.js, Tailwind, shadcn/ui
- Convex for real-time/reactive UI patterns
- Production Kubernetes internals, operators, and cluster troubleshooting
- Terraform and Helm for Infrastructure as Code
- ArgoCD and GitOps declarative deployment patterns
- Prometheus and Grafana observability
- Go programming for system-level tooling
- Complex state management and distributed systems
Benefits
- Competitive compensation based on experience
- Early-stage equity opportunity at venture-backed startup
- High-impact role shaping product direction
- On-site collaboration in San Francisco
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a production incident where you had to diagnose and fix a complex Kubernetes cluster issue. What observability tools did you use, and how did you surface the problem to non-technical stakeholders?
- Describe your experience building real-time UIs with Convex or similar reactive frameworks. How did you manage state synchronization when dealing with distributed system changes?