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Clera

Software Engineer

remote (Remote)$75k–$265kfulltimemidAdded today

About this role

Join a Series B fintech SaaS company as a Software Engineer to build and scale end-to-end production systems for complex B2B products. You'll own features across the full stack—from intuitive UIs to data modeling and integrations—working directly with stakeholders in a remote, startup-focused environment.

What you'll do

  • Build and scale production systems spanning frontend, backend, and data layers for B2B fintech products
  • Own feature development from conception through launch, including iteration and stakeholder collaboration
  • Design and implement shared abstractions to make complex products intuitive for users
  • Build data pipelines and ETL processes to support large-scale data systems
  • Conduct code reviews and establish engineering best practices to raise team standards
  • Work with Google Cloud Platform infrastructure and deployment systems

What they're looking for

  • TypeScript and React
  • Node.js and Python
  • PostgreSQL and MongoDB
  • Google Cloud Platform (GCP)
  • Data pipelines and ETL processes
  • Full-stack system design and architecture
  • CI/CD pipelines (GitHub Actions preferred)
  • Observability and monitoring tools

Benefits

  • Flexible hours and unlimited PTO
  • Health insurance for US and Canadian employees
  • 401(k) for US employees
  • MacBook Pro or Lenovo laptop provided
  • Regular in-person team retreats
  • Fully remote across US, Canada, and Latin America
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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

  • Walk us through a feature you owned end-to-end—what was your approach to gathering requirements and shipping it?
  • Describe a time you had to make a technical decision that spanned frontend, backend, and data layers. How did you approach it?
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