DevOps Engineer - AI Platforms (m/f/d)

Rohde & Schwarz GmbH & Co.; Dresden; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Rohde & Schwarz GmbH & Co. is building the platform where AI models run safely and reliably—from the data center to edge deployment.

The role focuses on running and automating cloud and on-premise infrastructure, implementing IaC like Terraform, and scaling for performance. You will also develop CI/CD pipelines, enforce security concepts, and collaborate with MLOps teams to provide robust runtime environments for model serving.

Aufgaben

• You operate and automate cloud and on-premise infrastructure and implement Infrastructure as Code, for example Terraform, as well as scaling and performance optimizations.
• You build CI/CD pipelines for applications and services and integrate deployment workflows with GitOps.
• You ensure observability through logging, metrics and alerts and take on capacity planning as well as incident response for AI platforms.
• You implement security concepts, access management and secret handling such as RBAC and secrets management for platform services.
• You collaborate with MLOps and AI teams and provide robust runtime environments for model serving and data services.
• You harden platform components for hybrid, edge and air-gapped scenarios.

Jobbeschreibung

Introduction

You’re building the platform where AI models run safely and reliably—from the data center to edge deployment.

Tasks

• You operate and automate cloud and on-premise infrastructure and implement Infrastructure as Code, for example Terraform, as well as scaling and performance optimizations.
• You build CI/CD pipelines for applications and services and integrate deployment workflows with GitOps.
• You ensure observability through logging, metrics and alerts and take on capacity planning as well as incident response for AI platforms.
• You implement security concepts, access management and secret handling such as RBAC and secrets management for platform services.
• You collaborate with MLOps and AI teams and provide robust runtime environments for model serving and data services.
• You harden platform components for hybrid, edge and air-gapped scenarios.