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# Platform Engineer

- **Company:** Atlas Group
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Salary:** €70,000.0 - €85,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Cloud Computing, Cloud Engineering, Configuration Management, Databases, Software Debugging, Linux, DevOps, Programming Tools, PostgreSQL, MySQL, Prometheus, Data Streaming, Video Editing, Data Logging, Sysadmin, Kubernetes, Deployment Automation, Cloudflare, Machine Learning Operations, Data Delivery, Terraform
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.de/jobad/de9986b27ea7f101253e292533fe407681

## About the Role

* 8-10 years of experience in DevOps, SRE, or platform engineering roles.
 * Deep production expertise in AWS and infrastructure-as-code workflows using Terraform.
 * Proven track record of managing and scaling Kubernetes in production environments.
 * Strong Linux sysadmin, networking, storage, and configuration management fundamentals.
 * Experienced with PostgreSQL, MySQL, and time-series databases like TimescaleDB.
 * Collaborative communicator comfortable aligning with remote engineering and data science peers.

## Description

We are building the AI-first software layer for modern manufacturing, requiring an infrastructure that is both highly resilient and developer-friendly. As our Platform Engineer, you will bridge the gap between cutting-edge AI systems, complex video processing, and robust cloud infrastructure, ensuring our engineering team can ship and debug at high velocity. Without you, we cannot scale our Kubernetes clusters, optimize our CDNs, or seamlessly integrate MLOps workflows to support our rapid growth.
What you'll do
The entire lifecycle of our cloud infrastructure, from foundational AWS architecture to local developer tooling.

 * Design, build, and maintain our scalable cloud infrastructure on AWS using Terraform.
 * Manage, scale, and troubleshoot our Kubernetes clusters to support intensive GPU workloads and streaming data/video processing systems.
 * Own and optimize our CI/CD pipelines to guarantee fast, safe, and automated deployments.
 * Build and implement robust monitoring, logging, and alerting systems using Prometheus and other observability tools for full system visibility.
 * Configure, secure, and optimize our CDN infrastructure using CloudFront, Fastly, or Cloudflare to ensure low-latency data delivery.
 * Improve the daily developer experience by creating clean workflows, automation, and debugging tools for the software and data science teams.


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