A dynamic tech company is seeking an experienced Backend Engineer to enhance its data infrastructure. The role involves designing, building, and maintaining scalable backend services and APIs using Python and FastAPI. Ideal candidates should have over 4 years of backend development experience, proficiency in Python, and familiarity with cloud platforms like AWS or GCP. This position offers competitive compensation, flexibility, and the opportunity for meaningful impact in a high-growth environment.
Qualifications
4+ years of professional backend development experience.
Strong proficiency in Python and FastAPI.
Experience with Docker and cloud platforms (AWS, GCP, Azure).
Responsibilities
Design and maintain scalable backend services using Python and FastAPI.
Develop high-performance RESTful APIs for AI workflows.
Architect and maintain cloud-native infrastructure.
Skills
Python
Backend development
FastAPI
RESTful API design
Relational databases
NoSQL databases
Asynchronous programming
Cloud platforms
Docker
Distributed systems
Job description
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 RevenueBase
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.