Fleet Infrastructure Engineer - Scale & Speed

Namespace; Zürich; On-site; CHF 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Flexible working hours

Market-leading parental leave

Job summary

Namespace Labs is looking for an experienced infrastructure engineer to own the software that drives our hardware. You’ll write the control planes, automation, and observability to keep our global fleet fast, reliable, and scalable.

You’ll work on an end-to-end stack optimized for high performance, including compute, memory, storage, and networking. You should have hands-on experience with large-scale systems and modern orchestration tools.

Qualifications

• Proven experience engineering large-scale infrastructure.
• Hands-on time deploying compute hardware at scale.
• Fluency with orchestration and automation tooling (Kubernetes, Terraform, Ansible).

Responsibilities

• Manage and automate the fleet – build services for provisioning, health checks, upgrades, and incident remediation
• Uphold reliability – embed observability, graceful degradation, and rollback paths into every layer you touch
• Architect the network – design and evolve a high-throughput, low-latency fabric tailored to our high performance use‑cases
• Ship software, not scripts – develop clean, testable code (mostly Go) that treats our fleet like a first‑class API
• Drive efficiency – improve utilization and power‑to‑performance ratios so capacity grows slower than usage
• Partner across the stack – work with product, infra, and platform teams to scope and deliver features like storage‑aware scheduling, cache volumes, and other developer‑facing features

Skills

Fleet management

Infrastructure engineering

Performance optimization

Go programming

System reliability

Tools

Kubernetes

Terraform

Ansible

Go tooling

Job description

Namespace Labs is looking for an experienced infrastructure engineer to own the software that drives our hardware. You’ll write the control planes, automation, and observability to keep our global fleet fast, reliable, and scalable.

You’ll work on an end-to-end stack optimized for high performance, including compute, memory, storage, and networking. You should have hands-on experience with large-scale systems and modern orchestration tools.