Full Stack Developer (Backend)

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.

• 4+ years of professional backend development experience.

• Strong proficiency in Python.

• Hands-on experience with

  • FastAPI

  • RESTful API design and implementation

  • Relational databases (PostgreSQL or similar) and NoSQL Databases (DynamoDB or similar)

  • Asynchronous programming

  • Cloud platforms (AWS, GCP, or Azure)

• Experience with containerization and deployment (Docker).

• Solid understanding of distributed systems concepts (caching, queues, background jobs).

• Comfortable designing scalable systems and optimizing for performance.

• Familiar with authentication, authorization, and API security best practices.

• Experience working in a fast-moving, remote-first environment.

• You take ownership, communicate clearly, and ship production-quality systems.

• You care about performance, reliability, and long-term maintainability.

• Product with real traction: Customers rely on our platform in production.

• High ownership: Small team where your work directly shapes the product.

• Engineering-driven culture: Quality and correctness matter.

• Growth stage company: Clear product-market fit and momentum.

• Impact over process: Less bureaucracy, more building.

• Competitive compensation based on experience.

• Meaningful ownership and long-term growth opportunities.

• Flexible working hours.

• Fully remote-friendly team.

• Direct collaboration with founders and core engineering leadership.