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# (Senior) Cloud Ops Engineer

- **Company:** ATOSS Software AG
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Continuous Integration, Django Web Framework, Python (Programming Language), Windows PowerShell, OpenAI, Cloud Services, AI Infrastructure, AI Platforms, Kubernetes, Apache Kafka, Machine Learning Operations, Video Streaming
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=752a61983d134a49

## About the Role

* Strong hands-on CI/CD experience, ideally with Azure DevOps, including building and maintaining pipelines as code.
 * Experience with Infrastructure as Code, GitOps, and automation using Python, Bash, or PowerShell.
 * Hands-on experience deploying and operating cloud services on Azure and/or T Cloud Public.
 * Strong cloud architecture understanding and the ability to evaluate technical approaches and trade-offs.
 * Experience with, or a strong interest in, operating AI infrastructure and AI services.
 * An ownership-driven, pragmatic mindset with strong communication skills and fluent English; German is a plus.

Preferred Requirements

 * Experience with Python and Django for internal tooling and automation.
 * Familiarity with Kafka or similar streaming technologies.
 * Experience with model serving, vector databases, or AI observability.
 * Relevant Azure or Kubernetes certifications, such as CKA or CKAD.

## Description

As a (Senior) Cloud Ops Engineer in our Cloud Operations Services (COS) team, you will own and evolve the automation and delivery layer behind the ATOSS Cloud Solution across Azure and T Cloud Public.

Spanning CI/CD, Infrastructure as Code, cloud and AI operations, your work will drive greater automation, standardization, and reliability across our cloud environment. You'll collaborate closely with R&D, Cloud Architecture, and the wider COS team to shape how we deploy and operate at scale., * Build and evolve CI/CD pipelines in Azure DevOps, using Infrastructure as Code and GitOps to automate infrastructure, deployments, and operational workflows.

 * Automate recurring operational work with Python, Bash, or PowerShell and create reusable patterns and self-service solutions for product teams.
 * Deploy and operate cloud services across Azure and T Cloud Public, covering managed services, compute, and networking.
 * Contribute to cloud architecture decisions and shape how new services are integrated and operated across our product teams.
 * Deploy and operate AI infrastructure and services such as Azure AI Foundry and Azure OpenAI, including monitoring, capacity, and cost management.
 * Drive security, reliability, and continuous improvement across pipelines and cloud infrastructure.