Platform Engineer Turn complex infrastructure into simple, dependable platform primitives. Remote (CET ±1h) · Full-time →

Interloom Ltd; Deutschland; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

VSOP stock options

Choose workstation and hardware

Offices in Munich and Berlin

Job summary

Interloom is building the first navigation system for work, delivering AI-powered operations software for enterprises. We focus on turning operational context into structured memory to empower AI agents and operators alike.

This role owns production infrastructure, builds tooling, and strengthens security and observability across a scalable, multi-tenant platform. Remote-friendly with CET±1h alignment.

Qualifications

• You should be comfortable owning production infrastructure and making thoughtful tradeoffs between reliability, security, speed, and simplicity.
• Strong experience with Kubernetes, infrastructure as code, cloud platforms, and building tooling for other engineers.
• Experience with Go, Terraform or OpenTofu, observability, and multi-tenant systems is especially helpful.

Responsibilities

• Build and scale production Kubernetes infrastructure across cloud providers.
• Create platform tooling and automation that makes operations simpler.
• Improve deployment, GitOps, and CI/CD workflows.
• Operate databases, caches, object storage, and other core platform services.
• Strengthen security, compliance, secrets management, and tenant isolation.
• Improve observability across services, infrastructure, and customer environments.
• Support AI and ML workloads, including LLM infrastructure and GPU-backed workloads.

Skills

Kubernetes

Infrastructure as Code

Cloud platforms

Tooling for engineers

Go

Terraform/OpenTofu

Observability

Multi-tenant systems

Tools

Terraform

OpenTofu

Job description

Interloom is building the first navigation system for work.

For thirty years, enterprise software has forced fluid, human work into rigid forms, tickets, and CRMs. Yet most of what actually happens inside a company, the decisions, the escalations, the problem-solving, happens outside those systems. Roughly 70% of operational knowledge is never written down. It lives in inbox threads, support tickets, and the heads of experienced people. Interloom changes that. We capture how expert teams actually resolve work and turn it into a living context graph, a permanent memory layer that lets AI agents act on your company's real, proven decisions instead of generic training data.

We put subject-matter experts, not developers, in control. Everything in Interloom is built from natural language: a procedure is written the way you would explain it to a new colleague, and an agent is briefed the way you would brief a contractor. We are already deployed at enterprises like Zurich Insurance, JLL, and Fiege, across facility management, insurance, banking, logistics, energy, and ITSM.

We are a team of engineers, operators, and researchers across Munich and Berlin. In March 2026 we raised a $16.5M seed round led by DN Capital, with participation from Bek Ventures and Air Street Capital, to expand across enterprise customers and accelerate our go-to-market. If you want to do the best work of your life on a hard, real problem, we want to hear from you.

How we work

• Experts in control. The people closest to the work design it. We build for the operator, not the developer, and we work the same way internally.


• Describe, then automate. If it can be described clearly, it can be built. We value precise thinking and plain language over jargon and ceremony.


• Context compounds. We do not let knowledge disappear. We write things down, learn from every case, and make the next decision better than the last.


• Humans make the call. Agents handle the routine so people can focus on the highest-value work and the decisions that matter.


• Small teams, real ownership. Lean, autonomous teams with minimal bureaucracy. You own outcomes, not tasks.


• Ship to learn. We put working software in front of real users early and let evidence, not opinion, decide what comes next.

About the role

Interloom builds AI-powered operations software for enterprises.

We help organizations understand how work actually happens, capture expert knowledge, and automate complex workflows with AI agents that have real operational context.

Most companies run on knowledge that never fully makes it into documentation: decisions hidden in tickets, emails, workflows, internal tools, and the heads of experienced employees. Interloom turns that operational context into structured memory that AI systems can use reliably.

We’re building software for a future where humans and AI agents work together across complex enterprise workflows. That means our platform has to be secure, reliable, observable, and able to scale across customers, clouds, regions, and workloads.

We need someone who can turn complex infrastructure into simple, dependable platform primitives that help us ship production AI workflows for enterprise customers.

What you’ll do

• Build and scale production Kubernetes infrastructure across cloud providers.


• Create platform tooling and automation that makes operations simpler.


• Improve deployment, GitOps, and CI/CD workflows.


• Operate databases, caches, object storage, and other core platform services.


• Strengthen security, compliance, secrets management, and tenant isolation.


• Improve observability across services, infrastructure, and customer environments.


• Support AI and ML workloads, including LLM infrastructure and GPU-backed workloads.

What we’re looking for

• You should be comfortable owning production infrastructure and making thoughtful tradeoffs between reliability, security, speed, and simplicity.


• Strong experience with Kubernetes, infrastructure as code, cloud platforms, and building tooling for other engineers.


• Experience with Go, Terraform or OpenTofu, observability, and multi-tenant systems is especially helpful.

You do not need to have used every tool in our stack. We care more about good judgment, ownership, curiosity, and the ability to learn quickly.

Compensation and benefits

• Competitive salary, with the final offer depending on experience.


• VSOP: Virtual stock options, so you share in the upside you help build.


• Pick your own workstation and hardware. We give you the tools you need so nothing slows you down.


• Cozy, comfortable offices in Munich and Berlin.


• Remote-first, so you can work from wherever you do your best work, within CET ±1h.


• Annual company retreats to spend real time with the team.


• Groundbreaking work in AI and ML, pushing the boundaries of what agents can do.


• Professional growth with clear pathways to leadership as we scale.

Location

This role is fully remote within a CET ±1h timezone band, so working hours stay aligned with the rest of the team. You’re welcome to use our offices in Munich and Berlin whenever you like, with occasional travel for team offsites.

Interloom is an equal-opportunity employer. We hire for talent and judgment, not background or location.