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Revenuebase Inc

Posted 2 months ago

Open

Full Stack Developer (Backend)

New DelhiRemoteFull-time

AI Summary

Backend engineer ships scalable Python + FastAPI services, builds data pipelines and cloud infrastructure, and owns end-to-end backend features for high-performance, reliable data platforms.

About this role

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.

  • 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.

Skills

Asynchronous ProgrammingAuthentication & API Security Best PracticesCI/CD And Deployment ToolingCloud Platforms (AWS, GCP, Or Azure)Data PipelinesDistributed Systems Concepts (caching, Queues, Background Jobs)DockerDynamoDB Or Similar NoSQL DatabasesFastAPIObservability And MonitoringPostgreSQL Or Similar Relational DatabasesPythonRESTful API DesignWeb Services Scaling

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