Backend Engineer at Volumetree

Job Title

Backend Engineer

Not Disclosed

Volumetree is an AI‑first product development company that has delivered production‑grade systems for over 80 major clients including Tata, UpGrad, and the Government of India. Now expanding their engineering footprint to London, they combine established revenue and market momentum with the high‑autonomy culture of an early‑stage technical team.

As one of Volumetree's first London‑based Backend Engineers, you will design and scale Python (FastAPI) services that power AI‑driven products. You will own the entire lifecycle of production services, from schema design to AWS deployment. This role offers genuine architectural influence and the chance to shape a growing international engineering hub.

London, United Kingdom

• Founding member of the London engineering team with direct access to the founding team and significant influence over local culture and technical standards.
• Work on high‑impact projects for a prestigious global client roster while leveraging the autonomy and speed of a small, agile engineering squad.
• Experience stability and growth, working for a revenue‑positive company that is aggressively investing in its own platform and international expansion.

• Architect, build, and maintain high‑performance backend services using Python and FastAPI to support diverse AI‑driven product requirements and features.
• Design and optimize Postgres data layers and implement Redis for efficient caching and message queuing within a high‑traffic production environment.
• Manage the full deployment lifecycle on AWS, utilizing Docker and Kubernetes to ensure robust monitoring, scalability, and reliability for all services.

• 4+ years of professional experience building and scaling production‑grade APIs using Python frameworks such as FastAPI, Django, or Flask.
• Deep expertise in SQL, including complex schema design, performance optimization, and managing data integrity for large‑scale production applications.
• Proven track record of end‑to‑end service ownership, from initial technical specification through to deployment, monitoring, and maintaining production reliability.