System & Infrastructure Engineer
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System & Infrastructure Engineer
Hybrid · Ghent, Belgium
Polysense builds operational intelligence software for food manufacturers. Companies like Agristo, Lotus Biscoff, and La Lorraine already run on it.
Our engineers build that on infrastructure we run ourselves: on-prem CPU and GPU servers, a basic Kubernetes cluster, our own CI and ML training runners, and cloud VMs on AWS and Azure. On top of that runs a lot of internal tooling, some built by us and some open source.
It grew fast. Now it needs an owner.
That's you. You own our infrastructure end to end, fix things properly instead of patching them, and lay the security foundations along the way. You report directly to the CTO/co-founder, and the learning curve is as steep as you want it to be.
Mission: own Polysense's infrastructure end to end, so engineering stops firefighting and gets back to building.
💼 What you'll be doing
Own the infrastructure, top priority
Servers, CI and training runners, cloud VMs, and the internal tools running on top. This includes spinning up extra cloud compute when a big training run or GenAI experiment needs it. When something breaks, it's yours. So is making sure it doesn't break the same way twice.
02. From firefighting to fixing
A training runner's disk fills up and nobody can train models. A kernel update breaks the GPU drivers. Right now both get a quick manual fix. You fix why they keep happening.
03. Automate, AI-first
Scripts, Terraform, Ansible, AI agents: repeatability and automation are your defaults for anything repetitive. You can fully offload eng-to-end tasks to agents, but also know when something is still too risky to hand off.
04. Access, organized
GitHub and Azure access is managed by hand today. You build a clear role structure, so granting or revoking access takes minutes and nobody is left waiting.
05. Security foundations
You help build the real technical controls behind our ISO 27001 and SOC 2 path. You're the builder, not the auditor.
Not in scope: day-to-day laptop setup and new-hire onboarding. That's a pre-configured IT pipeline, not yours.
Key point: we're not looking for someone who's seen it all. We're looking for someone who wants to own it all, and learns fast doing it.
💪 What you bring
Background & Experience
A solid technical base: Linux, the command line, scripting in Bash or Python. You can debug and chase a root cause.
Some hands-on experience keeping systems running. A first job, an internship, side projects, a homelab you're slightly too proud of: it all counts.
Experience with, or real curiosity about, Docker, Kubernetes, cloud (AWS/Azure) and infrastructure-as-code like Ansible.
An AI-native way of working: setting up agents and automation to handle tasks is your default.
Early career is fine: roughly 0–3 years of experience.
Bonus points: exposure to ISO 27001 or SOC 2, a compliance platform like Vanta, GPU servers and Nvidia drivers, virtualization or storage setups, or networking basics.
Not required: senior-level experience, certifications, or audit and legal compliance work.
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