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Clera

Software Engineer – Full Stack

San Francisco$120k–$150kfulltimemidAdded today

About this role

Join an early-stage AI advertising infrastructure company as a Full Stack Software Engineer to build contextual ad delivery systems. You'll own technical projects end-to-end across backend systems, APIs, cloud infrastructure, and data pipelines while collaborating with go-to-market teams to translate customer needs into scalable solutions.

What you'll do

  • Own technical projects from scoping and design through implementation, testing, deployment, and production maintenance
  • Build reliable backend systems and design/consume production APIs (REST, gRPC) with attention to scalability
  • Deploy, operate, and troubleshoot cloud services on AWS in production environments
  • Monitor production services, improve observability, lead incident response, and troubleshoot performance issues
  • Work with data infrastructure including schema design, query optimization, and analytics/attribution pipelines
  • Partner with GTM stakeholders to translate customer and business needs into technical solutions

What they're looking for

  • Python (Django and/or FastAPI)
  • Backend systems design and API development (REST, gRPC)
  • AWS deployment and operations
  • PostgreSQL and query optimization
  • Production monitoring and incident response
  • Async programming patterns
  • Data pipeline and analytics infrastructure
  • Schema design and performance troubleshooting

Benefits

  • Early-stage equity opportunity
  • Work in cutting-edge AI advertising infrastructure space
  • High ownership and autonomy on technical projects
  • Collaborative environment bridging engineering and go-to-market
  • On-site role in San Francisco with team collaboration
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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 technical project you owned end-to-end in production—what was the most complex part and how did you handle it?
  • Describe your experience operating production services. How have you approached monitoring, observability, or incident response?
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