Job Description:

• 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.

Requirements:

• 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.

Benefits:

• 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.