Full Stack Developer (Backend)

RevenueBase Inc; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Ownership and growth

Flexible hours

Remote-friendly team

Direct collaboration with founders

Job summary

RevenueBase Inc is seeking an experienced backend engineer to scale our data infrastructure. You will design, build, and maintain scalable backend services in Python and FastAPI, powering AI agents and GTM workflows in a fully remote environment.

You will own backend features end-to-end and work with frontend and data engineers to ensure robust, secure, and high-performance APIs. If you care about data integrity and system reliability, join our ambitious team.

Qualifications

• 4+ years of backend development experience.
• Strong proficiency in Python.
• Experience building scalable backend services and APIs.
• Experience with FastAPI and RESTful design.
• Familiarity with cloud platforms (AWS, GCP, or Azure).

Responsibilities

• Design, build, and maintain scalable backend services using Python and FastAPI.
• Develop 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.

Skills

Backend development

Python

Ownership

Remote-first

Tools

FastAPI

PostgreSQL

DynamoDB

AWS

Docker

Job description

the company:

• 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.

Why We're Hiring This Role:

• 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.

What You'll Do

• 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.

Who You Are

• 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.

Why the company:

• 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.

What We Offer:

• 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.