Jobs / Summary

AI Infrastructure & Platform Operations Engineer (Remote, EU)

Confidential company · Berlin · Posted Jul 6, 2026

Public summary

This role involves operating and supporting large-scale AI infrastructure environments across multiple datacenters in Europe. The position focuses on ensuring the availability, performance, and stability of AI platforms using NVIDIA GPUs, Kubernetes, and advanced networking. Responsibilities include monitoring production platforms, troubleshooting hardware and software, collaborating with cross-functional teams, and improving operational processes. Candidates should have strong Linux, networking, Kubernetes experience, and preferably background in AI infrastructure or site reliability engineering. The role offers a chance to work with cutting-edge AI technology and contribute to advancing AI-powered operational services within a growing organization.

Location and work setup

Location
Berlin
Remote status
Remote
German requirement signal
No German Required Detected
Detected job language
English

Salary

USD 60000.00 - 67000.00 year

Responsibilities

Monitor, operate, and support production AI infrastructure platforms; investigate and resolve infrastructure, networking, hardware, and platform incidents; support NVIDIA GPU infrastructure; troubleshoot Kubernetes environments; analyze performance and availability issues; collaborate with engineering teams and vendors; participate in incident response and root cause analysis; improve monitoring, automation, and operational processes; maintain operational documentation and knowledge base.

Qualifications

Minimum 3 years experience in infrastructure, platform, network, site reliability, cloud, or datacenter operations; strong Linux administration and troubleshooting skills; good understanding of networking concepts and diagnosing infrastructure issues; working knowledge of Kubernetes in production; experience supporting production infrastructure; strong analytical and problem-solving skills; ability to work in a shift-based operational environment; excellent communication and collaboration skills. Desirable experience includes NVIDIA GPU and accelerated computing platforms, InfiniBand networking, Kubernetes platform operations, AI or HPC environments, Site Reliability Engineering, observability platforms (Grafana, Prometheus, ELK, OpenTelemetry), infrastructure automation, and managing large-scale distributed production platforms.

Skills

Linux administration Networking concepts Kubernetes Infrastructure troubleshooting NVIDIA GPU infrastructure InfiniBand networking Site Reliability Engineering Observability platforms Infrastructure automation Distributed systems