Infrastructure Software Engineer
Namespace is hiring an Infrastructure Software Engineer for a remote role open to applicants in Switzerland. Level rates it ; you can apply on Namespace.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions Go, CI/CD and infrastructure among its tools and skills.
- Level classes it as a mid-level role.
- Namespace has 13 other open roles on Level.
AI in this role
Build and maintain low-level developer infrastructure, automation, and control planes for high-performance builds.
We're proud to work with many incredible companies, accelerating their ability to build their products.
We've spent years watching talented engineering teams lose momentum to the same frustrating bottleneck: waiting. Waiting for CI to finish. Waiting for builds to complete. Waiting for tests to run.
After experiencing this pain firsthand at companies of every size, we set out to build the developer infrastructure platform we'd always wanted to use. Something that would seamlessly integrate with our workflows and the tools teams already love—but make everything dramatically faster and more cost-effective.
Today, we're already accelerating hundreds of companies around the world, helping them ship features instead of waiting for infrastructure. We've built something that feels almost magical in its simplicity: change your runs-on line, mount your toolchain cache directory and suddenly your builds are 5x faster.
About the role
Namespace's approach is low-friction, designed for immediate integration into existing developer toolchains, empowering teams to experience tangible results within just five minutes. With an end-to-end stack optimized for high performance—including compute, memory, storage, and networking—Namespace delivers capabilities and efficiencies unmatched by traditional cloud providers.
Own the software that drives our hardware. You'll write the control planes, automation, and observability that keep our global fleet fast, efficient, and reliable, while charting a path to scale that continues to increase the number of "machines under management" per engineer.
Our culture
We're looking for people with grit—people who push through ambiguity, take ownership, and keep going when things get hard. You're deeply curious, driven to understand how things work and how they can be improved. Most importantly, you have a strong bias to execution: you don't wait for perfect conditions, you ship, learn, and iterate quickly. If you care about building, moving fast, and making real impact, you'll fit right in.
What you'll do
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
What we're looking for
Proven experience engineering large-scale infrastructure - writing the software that runs fleets, not just operating existing hyperscalers
Depth in network architecture, data-center design, and performance tuning
Hands-on time deploying and managing compute hardware at scale (servers, switches, etc)
Fluency with modern orchestration and automation tooling (Kubernetes, Terraform, Ansible - plus the judgment to know when to build vs. buy)
A track record of delivering reliable systems and measurable efficiency gains
You can expect:
Competitive salary and stock options
Flexible working hours
Market-leading parental leave
Life at Namespace Labs:
We pride ourselves in being a small team of experts that can achieve a lot.
We balance our long-term vision with short-term pragmatism.
We believe in being fully transparent internally on how decisions are made, on how the company is doing, and we use that information to drive our decisions.
How we rate this
Infrastructure Software Engineer at Namespace rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Walk me through how you've used Go in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Infrastructure, Distributed Systems, Automation, Observability, and Go. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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