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Clera

Forward Deployed Engineer

San Francisco$150k–$250kfulltimemidAdded today

About this role

Join an early-stage startup building an agentic integration platform for supply chain and logistics. You'll own core systems end-to-end—agent orchestration, cloud infrastructure, and integrations runtime—while setting engineering patterns and shipping with the founding team in a high-velocity environment.

What you'll do

  • Own agent platform, cloud infrastructure, and integrations runtime from conception through production
  • Define architecture, conventions, and engineering best practices for future team members
  • Deploy features and infrastructure continuously in close collaboration with founders
  • Design monitoring, observability, and self-healing capabilities across production systems
  • Influence product direction and the technical roadmap alongside leadership
  • Build durable-execution integrations runtime that handles real, mission-critical work

What they're looking for

  • TypeScript
  • React
  • Effect-TS
  • PostgreSQL
  • Kubernetes
  • AWS
  • Infrastructure and deployment pipelines
  • Systems design and reliability engineering

Benefits

  • Equity participation as an early-stage team member
  • Salary range $150,000–$250,000 USD depending on experience
  • Visa sponsorship available
  • Direct influence over product and technical direction
  • Work with high-caliber founding team in-person
  • Ownership of core systems end-to-end
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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

  • Can you walk us through a complex production system you owned end-to-end, from design decisions to monitoring in production?
  • How have you approached setting engineering patterns or best practices in a greenfield or early-stage environment?
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