Join RevenueBase as a Full Stack Developer to enhance backend systems and cloud infrastructure in a fully remote environment.
Posted by employer 5 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We power AI agents for various platforms, ensuring backend performance and data integrity.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Full Stack Developer focuses on designing and maintaining scalable backend services, ensuring high performance and reliability as the company's data infrastructure expands. Proficiency in Python, FastAPI, and cloud platforms is essential, along with experience in API design and distributed systems. This position is ideal for someone with over four years of backend development experience who thrives in a fast-paced, remote-first environment. RevenueBase is a growth-stage company with a strong engineering culture, emphasizing quality and ownership.
Joblaze insights
Quick facts
From the original posting
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.