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Clera

Full Stack Engineer

San MateofulltimemidAdded today

About this role

Build AI infrastructure for enterprise customers as a full-stack engineer on a senior team. You'll own complete product surfaces end-to-end—from user-facing interfaces to backend services—with 60% frontend/API and 40% backend work, making complex system behavior intuitive for engineers.

What you'll do

  • Own complete product surfaces end-to-end, including interfaces, APIs, and data models
  • Split time between frontend and API layer work (~60%) and backend services (~40%)
  • Make complex system behavior legible and performant for engineers using the platform
  • Define architecture, deploy to production, monitor behavior, and resolve issues
  • Make independent architectural decisions without relying on design specs or handed-down requirements
  • Improve customer-facing product clarity and intuitiveness to remove growth bottlenecks

What they're looking for

  • Full-stack web development with shipped production applications
  • Modern frontend frameworks (React or Vue) with UI/UX sensibility
  • Backend development (Python, Go, Node.js, or Java)
  • API design and implementation
  • Data modeling and database design for real-time systems
  • Distributed systems architecture
  • Independent decision-making and ownership in ambiguous environments
  • Startup-speed execution and rapid shipping

Benefits

  • Work on AI infrastructure solving enterprise problems
  • Own complete product surfaces end-to-end with direct impact
  • Collaborate with a small, senior engineering team
  • On-site role in San Mateo with visa sponsorship available
  • Autonomy to make architectural decisions independently
  • Build developer-facing infrastructure products
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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.

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Likely interview questions

  • Walk us through a full-stack project you owned end-to-end—how did you approach the frontend, API, and backend design?
  • Tell us about a time you made a major architectural decision without detailed specs. How did you validate your approach?
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