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Clera

Founding Engineer

remote (Remote)fulltimemidAdded today

About this role

Join a seed-stage AI infrastructure startup as a Founding Engineer to design and build scalable backend services in Go that power next-generation AI applications. You'll architect microservices platforms, optimize distributed systems, and directly shape the company's technical direction alongside founders.

What you'll do

  • Design and build core backend services in Go handling high-traffic, low-latency workloads
  • Architect microservices platform on Kubernetes and evolve the technical stack as company grows
  • Build and maintain high-quality API platforms with focus on reliability and developer experience
  • Implement and optimize distributed caching and database layers (SQL, NoSQL)
  • Profile and tune systems for performance under production-scale conditions
  • Collaborate with founders on product direction and technical roadmap

What they're looking for

  • Go (Golang)
  • Distributed systems design and scalability
  • Kubernetes in production environments
  • SQL and NoSQL databases
  • Distributed caching systems
  • Performance profiling and optimization
  • API platform design
  • Concurrency and system design

Benefits

  • Significant equity stake with meaningful ownership
  • Generous total compensation package
  • Direct influence on technical direction and architecture
  • Remote-first opportunity with London presence
  • Work on infrastructure powering AI applications
  • Deep ownership and fast learning environment
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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 complex distributed system you've designed — what were the key tradeoffs you made between consistency, availability, and performance?
  • Describe your experience migrating or scaling a system to handle significantly higher traffic. What bottlenecks did you encounter and how did you resolve them?
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