Build the systems other teams are still talking about.

Join a small technical team working across production AI and cloud infrastructure. You will get direct ownership, room to experiment, and a clear line from your decisions to the outcome.

See open roles
Working model1 role(s) open
LocationRemote, within 2 time zones of GMT+1
Core hours10:00 to 14:00 GMT+1
Openings1 full-time position(s)

Small team. Serious technical room.

We keep the operating model light so capable people can focus on the work, learn quickly, and own what they build.

Work with the founder

Get direct access to decisions, context, and feedback. Good ideas do not disappear into layers of management.

Flexible hours

Plan your day around a small collaboration window from 10:00 to 14:00 GMT+1. The rest is yours to shape.

Time and budget to learn

Use dedicated time and a learning budget to test ideas, sharpen your craft, and explore useful technology.

A path to shared upside

Strong contributions can unlock discretionary, non-voting profit-sharing shares from the employee pool.

01

Own the technical outcome

Take real responsibility for systems and products. You will have room to shape architecture, implementation, and what comes next.

02

Build without legacy drag

Work with modern systems and make deliberate technical choices instead of preserving years of inherited bloat.

03

Prove what works

Measure reliability, cost, latency, and risk. We care about systems that hold up in production, not impressive demos.

Pick the problem you want to own.

Cloud systems

Site Reliability Engineer

Own the reliability and operation of full-stack systems running at scale on Kubernetes.

  • Enterprise Kubernetes in production
  • AWS or Azure experience
  • Fullstack knowledge of cloud systems, including networking, storage, and security
  • Experience with observability, monitoring, and alerting
  • Skilled DevSecOps practitioner, including CI/CD, IaC, and security hardening
TypescriptGolang
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