BranchFactor Summary

The original posting with the fluff stripped out

Compensation

No salary listed for this role.

Role speciality

Backend DevelopmentData Infrastructure

Useful technologies

AWSAzureDockerDynamoDBFastAPIGCPPostgreSQLPythonREST

Original posting

RevenueBase:

We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.
We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.
We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools.

Our product and platform are scaling rapidly, and we need experienced backend engineers who can ship reliably, own services end-to-end, and maintain high performance as our data infrastructure grows.
This role exists to strengthen our backend systems, APIs, and cloud infrastructure — ensuring our platform remains fast, scalable, and dependable under increasing data volume and customer demand.
You’ll work on systems that customers rely on in production — where backend performance, data integrity, and reliability directly impact retention and growth.

Design, build, and maintain scalable backend services using Python and FastAPI.
Develop and optimize high-performance RESTful APIs powering AI agents and GTM workflows.
Architect and maintain cloud-native infrastructure (compute, storage, networking).
Build reliable data pipelines and services that process, validate, and serve large B2B datasets.
Ensure system scalability, observability, and fault tolerance.
Own backend features end-to-end — from design and implementation to deployment and monitoring.
Collaborate closely with frontend and data engineers to ensure clean API contracts and reliable data flow.
Contribute to architectural decisions, code reviews, and engineering best practices.
Continuously improve performance, security, and maintainability across backend systems.