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.
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 .
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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.
Originally posted on Himalayas