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Clera

Software Engineer

San Francisco$120k–$200kfulltimemidAdded today

About this role

Join a Y Combinator–backed fintech startup building voice-AI infrastructure for financial services. As a Software Engineer, you'll own core features end-to-end across the full stack, shipping production code daily while working on challenging domains like telephony and real-time voice processing for enterprise clients.

What you'll do

  • Build and own core product features end-to-end with direct customer impact
  • Work across backend systems, APIs, and voice infrastructure to ship daily
  • Design and implement solutions for telephony and real-time voice processing
  • Collaborate with customers to translate needs into technical solutions
  • Make architectural decisions that shape the product's long-term direction
  • Establish engineering standards and culture as the team scales

What they're looking for

  • TypeScript and Node.js/Express
  • PostgreSQL and relational databases
  • AWS cloud-native deployment and CI/CD pipelines
  • Observability and monitoring systems
  • Full-stack product development
  • Telephony and real-time audio systems
  • Messaging integrations (SMS, WhatsApp, email)
  • Fintech and financial services compliance (CFPB, TCPA, PCI)

Benefits

  • Early-stage equity opportunity
  • Direct impact on product direction from day one
  • High ownership and autonomy in a fast-growth environment
  • Visa sponsorship available
  • On-site team in San Francisco for close 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

  • Tell us about a time you owned a feature end-to-end in production—what challenges did you face and how did you solve them?
  • Describe your experience deploying and monitoring applications on AWS. What observability tools have you used?
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