Principal Systems Engineer

We’re building the most resilient and efficient EV charging platform in Europe.

In under 3 months, we’ve hit €1M ARR and are scaling fast. Our system powers smart charging for EV fleets for residential customers, operating at the edge of energy, mobility, and cloud infrastructure. We’re led by an expert founding team and are solving deep engineering challenges with real-word impact.

Our systems are already scaling, but many core pieces still need to be hardened. You'll be key in building the technical foundations for massive growth.

We’re looking for a principal level systems-level engineer who:

• Codes in GoLang / Rust with fluency
• Cares deeply about performance, latency, and system-level understanding
• Designs software to be efficient, observable, and robust at runtime
• Thinks beyond AWS / Azure glue – you build systems, not stacks
  
  

You’ll work directly with our CTO and rest of the founding team to:

• Scale a websocket-based platform controlling tens of thousands of live EV connections
• Optimize inter-service communication with compact binary protocols (avoiding JSON)
• Build resilient, failure-tolerant backend systems for real-world hardware
• Contribute to a highly available, cloud-hosted backend with simple, fast recovery models
• Collaborate closely with deep tech teams on solving time-critical, system-wide coordination problems
  
  

We value architectural thinking that goes beyond stitching together managed cloud services, especially for mission-critical components. We want engineers who understand what they build. If you’ve written your own internal queues, optimized data formats, or built real-time systems that must not fail.

This is a strategic, high-leverage technical role. You’ll shape how we operate, scale, and differentiate at the deepest levels of our platform. Unique equity potential.

Tags: Principal Engineer, Systems Engineer, Golang, Rust, Low Latency, High Availability, Distributed Systems, Energy, OCPP, Protobuf, WebSockets, Cloud Infrastructure, Edge Computing, Real-Time Systems.