Expert Site Reliability Engineer - Edge Infrastructure (f/m/d)

present of AI; München; Híbrido; EUR 110.000 - 140.000; Jornada completa

Descripción de la vacante

Orbem seeks an Expert Site Reliability Engineer to own edge infrastructure, including GPU-enabled Kubernetes and bare metal provisioning. The role emphasizes leadership in architecture decisions, incident triage, and post-incident reviews while operating as an individual contributor in an expert track.

The ideal candidate has deep Linux server experience, networking skills, and proficiency in Go or Python, with Terraform-based automation guiding edge deployments.

Formación

• Deep hands-on ownership of edge infrastructure including server hardware and Linux.
• Experience with GPU-enabled Kubernetes deployed at customer sites.
• Automation of bare metal provisioning with Terraform.
• Strong monitoring and incident response skills.
• Fluency in Go or Python.

Responsabilidades

• Own edge infrastructure architecture and reliability.
• Lead incident triage and post-incident reviews.
• Mentor colleagues within an expert track.
• Set technical direction for reliability at the edge.

Conocimientos

Linux

Server hardware

Networking

Kubernetes

Terraform

Go

Python

Monitoring

Incident response

GPU acceleration

Herramientas

Prometheus

Grafana

Descripción del empleo

Expert Site Reliability Engineer - Edge Infrastructure (f/m/d)

Engineering · Munich · Remote · FullTime · Senior level

The role asks for deep hands-on ownership of edge infrastructure: server hardware, Linux, networking, and GPU enabled Kubernetes running at customer sites. A strong candidate brings proven automation of bare metal provisioning with Terraform, solid monitoring and incident response skills, and fluency in Go or Python. The job is an individual contributor expert track, so it rewards someone who can set technical direction and mentor others without formal management.

How it fits the AI era

AI changes the work by making the edge fleet larger and more automated, so reliability engineering leans on infrastructure as code and proactive observability. The human core stays in architecture decisions, incident triage, and post incident reviews that turn failures into lasting fixes. Physical hardware and secure networks still need a person who understands them deeply.

How it builds AI experience

The role offers direct experience running GPU enabled Kubernetes for AI classification services at the edge, close to Orbem's MRI and computer vision work. Building that experience means practicing bare metal automation, GitOps delivery, and observability for unattended systems. Familiarity with how AI workloads stress hardware and networks would be useful to develop.

Worth showing

• Linux and server hardware
• Prometheus and Grafana
• Go or Python

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Orbem

Orbem develops high-throughput magnetic resonance imaging hardware and artificial intelligence algorithms that non-invasively inspect poultry eggs and agricultural produce.