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Clera

Full Stack Engineer

San MateofulltimemidAdded today

About this role

Join a senior team building enterprise AI infrastructure that provides AI agents governed access to real-time business data. As a Full Stack Engineer, you'll own complete product surfaces end-to-end—from polished UIs to APIs and data models—making complex distributed systems intuitive and fast for users.

What you'll do

  • Own complete product surfaces end-to-end: UI, APIs, and underlying data models
  • Design and build interfaces that expose complex distributed system behavior clearly and performantly
  • Develop backend services and APIs while crafting polished user interfaces (roughly 60% frontend/API, 40% backend)
  • Make independent product and architectural decisions; define direction, ship to production, and own outcomes
  • Monitor deployed systems, debug production issues, and iterate based on real-world behavior
  • Design APIs and data models that intuitively surface complex backend capabilities

What they're looking for

  • Full-stack application development with 5+ years production experience
  • Frontend frameworks (React, Vue, or equivalent)
  • Backend services in Python, Go, Node.js, Java, or equivalent
  • API and data model design for complex systems
  • Database design and optimization for real-time performance
  • Distributed systems architecture and thinking
  • Strong architectural judgment and independent decision-making
  • Comfort with ambiguity and ownership mindset
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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 Clera

Likely interview questions

  • Describe a time you owned a full-stack feature end-to-end in production—how did you approach the UI, API, and backend design decisions?
  • Walk us through how you'd design an API to expose complex distributed system behavior in a way that's intuitive for engineers or customers.