For infrastructure & platform engineers

Run the GPU fleet behind a fast-growing AI infrastructure company.

Our client is an AI-native cloud company. AI teams use its platform to run and scale AI workloads on large GPU clusters. The fleet is growing fast, and the work is automating it. That's where you come in.

HQ San Francisco · Engineering hub Amsterdam · Offices in London, Bangalore, Pune, Singapore

At a glance

  • Large-scale GPU fleet, mostly bare metal
  • 15 engineers from the Lemon community received offers
  • 3 infra teams with Lemon engineers: Fleet bring-up, Compute platform, Storage

What you'd do

Turn a hand-run GPU fleet into software

Your job: make every step of this lifecycle faster and more automated.

  1. 01 · Intake Bring online

    New data centers and GPU tranches imported into inventory and provisioning systems

  2. 02 · Validate Test hardware

    Automated hardware validation and burn-in

  3. 03 · Configure Build clusters

    Ansible/AWX, custom images, Kubernetes on bare metal or KubeVirt

  4. 04 · Hand off Serve customers

    Clusters go to internal teams or external customers

  5. 05 · Repair → automate Close the loop

    Triage failed nodes, RMA, retest, then turn the fix into code and agents

The challenge: scale

The fleet is growing fast, and the work is automating it. The goal is to make bring-up dramatically faster and fully automated.

Building, not just tickets

Everyone works on automation. SREs here design processes and platforms, so software skills matter as much as operations.

Agents on real infrastructure

The team builds agents that diagnose and fix infrastructure issues. Agents write code, humans review.

Frontier hardware

Almost all bare metal: latest-generation NVIDIA GPUs on InfiniBand and RoCE fabrics.

The stack

Linux, Ansible/AWX, Terraform, Python and Go (increasingly for AI tooling, incident collection and agents). Kubernetes controllers and custom images; bare-metal provisioning and automated hardware testing; KubeVirt, Kubernetes networking.

Beyond fleet bring-up

Compute platform keeps GPU capacity available for customers. Storage runs Ceph, filesystems and high-cardinality metrics. Every team wants the same profile: an SRE who codes like a platform engineer.

How the work is organised

Autonomous, remote, and fast

Engineers own their outcomes and work closely as a team.

Teams

Three SRE teams: Fleet bring-up, Compute platform and Virtualization platform. They overlap, and engineers move between them as needed.

Where people are

About half in Europe (Amsterdam/UK hours), half in the US, a couple in Singapore. Offices in Amsterdam and SF; most people, managers included, work remotely. No Pacific hours required.

Planning

Weekly Kanban cycles and a daily standup. No sprint planning or estimates. Slack for communication, and anyone can write an RFC.

On-call

Follow-the-sun: 12 hours on, 12 off, split between the US and Europe. Your turn comes about every six to nine weeks. You shadow first, after 1–2 months, and hand off when your window ends.

AI tools

Claude Code, Cursor, Copilot, Open Code, Pi and internal agent tooling. Managers use AI daily. You stay the architect: AI speeds up the work, you own the decisions.

Onboarding

Through real work: tickets from week one, runbooks, and pairing with whoever joined just before you. A top-spec MacBook Pro ships to you; running a local Linux VM is fine.

What the team values

Ownership and understanding problems independently, bringing problems together with possible solutions, clear communication at both depth and surface level, and understanding the whole system, not just your part.

Good to know

  • The pace is startup-fast. Priorities move quickly.
  • Onboarding is hands-on, not formal. Test your access in week one and raise gaps as one list.
  • Time-zone overlap takes effort. Some Europe-based engineers stay a bit later to sync with US colleagues, by choice. Raise any constraints when you agree terms.
  • Lemon stays with you. An account manager supports you through onboarding and beyond.

After joining

What Lemon engineers say

“I also love the team and our manager. How they treat each other and work together. It's been a pleasure so far.”
ArchitectAI infrastructure · Poland
“Two words: awesome & professional.”
Architectworking as SRE · Sweden
“I'm super-happy with both how the team's been incredibly supportive and with myself being this adaptable. I'd have laughed if a year ago someone had told me I'd be doing SRE work a year later.”
Architectworking as SRE · Sweden · after his first month
“Remote and async like that requires you to be more intentional. They are very professional at what they do. They take this real seriously… It's just a great place to be in.”
Architectworking as SRE · Sweden
“Everyone there, they are really good engineers, really good collaboration within the team. I really like the team. This type of work is not that easy to get nowadays… it's going to be a really good record for everyone's CV.”
Senior SRECompute platform team · Europe
“They shipped a MacBook Pro to my home… I surely wasn't expecting an M4 Max. That's not something most startups would do.”
Architectworking as SRE · Sweden

Open through Lemon · as of Oct 13, 2026

Roles we're hiring for

Where you can work from

Preferred

  • Netherlands
  • UK
  • India
  • Singapore
  • US
  • Canada

Also open to candidates from

  • Mexico
  • EU (all member states)
  • Australia
  • Norway
  • Switzerland
  • Iceland
  • Monaco

You can be from anywhere, but you must live and work from one of these countries. Working elsewhere, even briefly, needs your manager’s and IT’s approval first. The list can change.

Software Engineer, Go / Kubernetes platform

Compute platform
  • Hands-on Go plus Kubernetes
  • Hands-on Kubernetes familiarity. Controller/operator or Temporal experience is a plus, not required
  • Infrastructure-automation mindset (e.g. Ansible), not runbook-driven ops
  • Seniority is open. Depth and clear explanation count more than titles
Apply now Contract
Location: Any listed country · preferred: US, Canada, India, Netherlands, UK

AI Infrastructure Engineer / SRE

Fleet bring-up & Virtualization platform
  • Linux, Python or Go, Kubernetes
  • Bare-metal and Ansible experience
  • GPU experience is a plus
  • Strong agentic coding is a major plus
  • Clear communication and end-to-end ownership
Apply now Contract
Location: Any listed country

AI Infrastructure Architect / Senior Software Engineer

Fleet bring-up
  • Distributed systems and recent, heavy software work
  • Strong Go or Python; agentic development
  • Hands-on Kubernetes (must-have)
  • Infrastructure experience; Ansible/AWX or GPUs are a plus
  • Builds automation for large-scale infrastructure; building agents is a plus
  • Has designed complex systems from scratch
  • At least one flagship system you designed and owned end-to-end at real scale
  • Infrastructure depth: Linux internals, Kubernetes beyond deployments
Apply now Contract
Overlap with Mountain Time helps Location: Any listed country

Ceph / Distributed Storage Engineer

Storage
  • Deep Ceph: has contributed to Ceph and can fix it in the code
  • Both filesystem code and cluster management
  • Kubernetes with Rook
  • Strong networking
  • Infrastructure-as-code
  • Automation in Python or Go
Apply now Contract
Office presence valued in Amsterdam, India and SF Location: Any listed country · preferred: Netherlands, India, US

Network Engineer

US-based team · new search
  • Kubernetes and data-center troubleshooting
  • Supporting Cisco, Arista or Juniper network equipment
  • Strong Linux
  • InfiniBand / RoCEv2 theory
  • Hands-on BGP (very strong preference)
Location: Preferred: US · Also open to: Canada, Mexico or Europe

AI Agent Systems Engineer

  • Production backend and distributed systems; owns services end to end
  • Builds AI agents beyond RAG: tool use, orchestration, evaluation, measurable accuracy gains
  • Knowledge graphs or search/retrieval experience
  • Kubernetes, GitOps/IaC; Go or Python
Location: Any listed country

Interview Q&A

Questions candidates ask most

What's the team's biggest challenge?

Scale. The company runs a large, fast-growing GPU fleet, while the team grows much more slowly, so the work is automating it. The goal is to make bring-up dramatically faster and fully automated.

What will I work on in my first months?

Hands-on tickets first, to learn the system and the node lifecycle: triage, returning nodes to clusters, provider tickets. After a few weeks, the focus shifts to automating those problems. Experienced engineers move into agentic work as early as possible.

Is this mostly ticket support, or building?

A blend. Everyone gets to work on automation. SREs here design processes and platforms, so strong software skills matter as much as operations.

Why hire architect-level engineers for SRE work?

Every SRE here is expected to think like an architect, and the role is now titled AI Infrastructure Engineer. Recent, heavy software experience is what it takes to build agentic solutions to the scale problem.

I don't have much GPU experience. Is that a problem?

No. Strong Linux fundamentals matter most, and the team learns as it goes. One Lemon engineer moved from software development into SRE work here and found the team very supportive while he learned.

How does on-call work?

Follow-the-sun: 12 hours on, 12 off, with the US and Europe each covering their half. Your turn comes about every six to nine weeks. New joiners shadow first, usually after one to two months, and you aren't expected to work past your window.

How open is the team to AI coding tools?

Very. Managers use and advocate for AI every day. People use Cursor, Claude Code and Open Code. You stay the architect, with controlled, deterministic agent workflows.

Where is the team located? Is it remote?

About half the team works European hours (Amsterdam and UK) and half is in the US, with a couple of people in Singapore. Many people, including managers, work remotely. You don't have to work Pacific hours.

Which countries can I work from?

US, Canada, Mexico, EU countries, UK, India, Australia, Singapore, Norway, Switzerland, Iceland and Monaco. You must live and work from an approved country, and working from anywhere else, even briefly, needs your manager's and IT's approval first.

What does success look like after a year?

Ownership. You understand problems without needing your manager and bring them with possible solutions. Senior engineers propose how to stop incidents from recurring. Impact, clear communication and leading the solution count more than speed.

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