Public summary
We are looking for a Senior Platform Engineer to join the Platform team within a Data & AI department. The role involves designing, building, and operating secure and scalable infrastructure on Microsoft Azure, focusing on an agentic AI platform. This includes developing reusable Infrastructure as Code with Terraform, automation with Python, and contributing to Kubernetes and Azure Databricks workloads. The position supports developer self-service and platform capabilities for AI agents with emphasis on security, reliability, and governance.
Location and work setup
- Location
- Cologne
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Design, build, and evolve agentic AI platform capabilities using managed cloud services, open-source technologies, and hybrid approaches. Develop and operate infrastructure in Microsoft Azure covering compute, networking, storage, identity, security, and governance. Create reusable Infrastructure as Code modules with Terraform. Develop automation, integrations, and internal tooling using Python. Operate Kubernetes and Azure Databricks workloads as relevant. Collaborate with stakeholders and senior engineers on architectural decisions and improve engineering practices.
Qualifications
Proven experience in agentic-system architecture and platform capabilities such as model integration, context management, security, and governance. Strong expertise in Microsoft Azure infrastructure including compute, networking, storage, identity, security, and containers. Proficient with Infrastructure as Code (Terraform), Python scripting for automation, and platform tooling. Experience or willingness to learn Kubernetes and Azure Databricks. Able to work independently and collaborate effectively in a team environment.