Backend Engineer - Real-Time Data Center Energy Platform

Zendo; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Equity

Co-working space in London

Team offsites & socials

Job summary

Zendo is building an Energy OS platform to help data centres extract more value from every watt. Join as a Backend Engineer to work with the founding team on real‑time energy data processing, capacity models, and commercial intelligence.

This early hire will influence architecture and technical direction, ship MVPs quickly, and scale later, with hybrid work from London and equity on offer.

Qualifications

• Experience in backend/systems engineering with strong fundamentals in design and delivery.
• Ability to manage ambiguity and adapt to changing system requirements.
• Cloud infrastructure management experience, IaC, AWS, Docker, etc.
• Experience building/maintaining highly-available production workflows (Airflow or similar).
• Strong communication skills across technical and non-technical stakeholders.
• Experience in data centres, energy markets, or electrical/mechanical systems.
• Familiarity with agentic workflows, LangGraph, etc.
• Experience productionizing ML models and MIP or related solver technologies.
• Experience delivering MVPs quickly and scaling later.

Responsibilities

• Lead backend engineering efforts on Zendo’s platform architecture and pipelines.
• Onboard customers via automated, intelligent workflows.
• Integrate live data centre systems (BMS, meters, monitoring) into the platform.
• Build and maintain real-time data processing pipelines.
• Support multi-tenant capacity forecasting and surface real-time signals to users.

Skills

Backend engineering

Systems design

Cloud/AWS

Data processing

Airflow

LangGraph

ML deployment

Agile delivery

Tools

Docker

Kubernetes

Airflow

LangGraph

ML deployment tooling

Job description

Zendo is building an Energy OS platform to help data centres extract more value from every watt. Join as a Backend Engineer to work with the founding team on real‑time energy data processing, capacity models, and commercial intelligence.

This early hire will influence architecture and technical direction, ship MVPs quickly, and scale later, with hybrid work from London and equity on offer.