Backend Engineer

Clera•San Francisco, CA

4d•Remote

About The Position

We're a fast-moving, VC-backed insurtech startup building an AI-native platform that is transforming how insurance agencies sell, service, and support their customers. Our platform includes a real-time voice layer, an AI agent/skills system, omnichannel messaging, and deep integrations with insurance-industry systems — all built on a modern, production-grade backend. We're already trusted by a growing base of insurance agencies and shipping fast. We're looking for a Backend Engineer who takes full ownership of features — from design through deployment and production support — and is excited to work in an AI-native engineering culture where tools like Claude Code and Codex are part of the daily workflow.

Requirements

Strong proficiency in TypeScript / Node.js — comfortable building and maintaining production APIs and services.
Solid experience with PostgreSQL, including multi-tenant schema design, migrations, and query optimization.
Experience designing and building event-driven / asynchronous workflows using queue-based systems or workflow engines (e.g., Temporal or similar).
Demonstrated ability to own features end-to-end, from design to production support.
Familiarity with AI-native development tools such as Claude Code, Codex, or similar coding assistants — used daily.
Experience with CI/CD pipelines, automated testing, and production monitoring / on-call readiness.
Clear, async-friendly communicator, comfortable working across a distributed international team.

Nice To Haves

Experience with NestJS or another structured Node.js framework.
AWS experience: RDS, ECS/EKS, Terraform (IaC).
Experience building or operating LLM/agent systems in production (prompt engineering, agent orchestration, evals).
Background in insurance, fintech, or another regulated/compliance-heavy vertical.

Responsibilities

Build and ship features across the backend platform: campaign/workflow engine, integrations layer, and core APIs.
Work directly with a multi-tenant PostgreSQL data model — schema design, migrations, and query performance optimization.
Design and implement event-driven and queue-based workflows using Temporal as the workflow orchestration engine.
Own features end-to-end: design, build, test, deploy, and support in production.
Ship daily using AI coding tools (e.g., Claude Code / Codex) as a core part of your engineering workflow.
Partner closely with the Head of Engineering on architecture decisions and code reviews.