About the job
About RevenueBase:
At RevenueBase, we are on a mission to construct a robust data infrastructure that enhances the reliability of AI agents, transforming them into trustworthy tools rather than sources of errors.
We deliver consistently updated and validated B2B data tailored for autonomous AI agents and go-to-market workflows.
Our growth trajectory is impressive, having tripled our scale while achieving 100% gross dollar retention and maintaining positive cash flow.
Our technology fuels AI agents for industry leaders such as Clay, Orbital, and Dun & Bradstreet, as well as the next generation of AI-driven GTM solutions.
Why This Role Matters:
As our product and platform experience rapid scaling, we seek seasoned backend engineers who can reliably deliver solutions, oversee services comprehensively, and uphold performance as our data ecosystem expands.
This position is essential for fortifying our backend systems, APIs, and cloud infrastructure, ensuring our platform remains swift, scalable, and reliable in the face of escalating data volume and customer demand.
You will engage with systems critical to our customers' production environments, where backend efficiency, data integrity, and dependability are pivotal to customer retention and business growth.
Key Responsibilities
Design, develop, and sustain scalable backend services utilizing Python and FastAPI.
Enhance and optimize high-performance RESTful APIs that power AI agents and GTM workflows.
Architect and manage cloud-native infrastructure, including compute, storage, and networking resources.
Create dependable data pipelines and services for processing, validating, and serving extensive B2B datasets.
Guarantee system scalability, observability, and fault resilience.
Take full ownership of backend features, from design and implementation to deployment and monitoring.
Collaborate with frontend and data engineers to ensure seamless API contracts and reliable data flow.
Participate in architectural discussions, code reviews, and the implementation of engineering best practices.
Consistently enhance performance, security, and maintainability across backend systems.
Candidate Profile
4+ years of professional experience in backend development.
Strong command of Python.
Hands-on experience with:
FastAPI and RESTful API design.
Cloud infrastructure management.
Data processing and validation techniques.

