Full Stack Developer (Backend)

RevenueBase:

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We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.

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We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.

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We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.

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We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools.

Why We're Hiring This Role:

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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.

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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.

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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

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

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Develop and optimize high-performance RESTful APIs powering AI agents and GTM workflows.

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Architect and maintain cloud-native infrastructure (compute, storage, networking).

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Build reliable data pipelines and services that process, validate, and serve large B2B datasets.

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Ensure system scalability, observability, and fault tolerance.

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Own backend features end-to-end — from design and implementation to deployment and monitoring.

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Collaborate closely with frontend and data engineers to ensure clean API contracts and reliable data flow.

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Contribute to architectural decisions, code reviews, and engineering best practices.

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Continuously improve performance, security, and maintainability across backend systems.

Who You Are

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4+ years of professional backend development experience.

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Strong proficiency in Python .

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Hands-on experience with:

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FastAPI

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RESTful API design and implementation

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Relational databases (PostgreSQL or similar) and NoSQL Databases (DynamoDB or similar)

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Asynchronous programming

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Cloud platforms (AWS, GCP, or Azure)

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Experience with containerization and deployment (Docker).

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Solid understanding of distributed systems concepts (caching, queues, background jobs).

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Comfortable designing scalable systems and optimizing for performance.

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Familiar with authentication, authorization, and API security best practices.

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Experience working in a fast-moving, remote-first environment.

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You take ownership, communicate clearly, and ship production-quality systems.

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You care about performance, reliability, and long-term maintainability.

Why RevenueBase:

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Product with real traction: Customers rely on our platform in production.

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High ownership: Small team where your work directly shapes the product.

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Engineering-driven culture: Quality and correctness matter.

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Growth stage company: Clear product-market fit and momentum.

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Impact over process: Less bureaucracy, more building.

What We Offer:

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Competitive compensation based on experience.

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Meaningful ownership and long-term growth opportunities.

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Flexible working hours.

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Fully remote-friendly team.

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Direct collaboration with founders and core engineering leadership.

Originally posted on Himalayas