Senior Platform Engineer (m/f/d)

Description

The company runs an e-pharmacy.

You would join the Platform team in the Data & AI department, building secure and reliable Azure foundations with a strong focus on the agentic AI platform.

You would own platform capabilities within an agreed scope, from gathering requirements through delivery to ongoing operational improvement.

You will work directly with stakeholders and check with more senior engineers on wide or high-impact architecture choices.

You will assess new technologies, make practical technical decisions, spot risks early, and help improve engineering practice.

The goal is to let teams build, deploy, govern and run AI agents safely and reliably.

Responsibilities

• Build and develop the agentic AI platform, weighing managed cloud services, open-source tools, and build, buy or hybrid options by their technical and operational trade-offs.
• Design, build and run secure, reliable, scalable and cost-efficient Azure infrastructure covering compute, networking, storage, identity, security and governance.
• Write and maintain reusable Terraform infrastructure as code, applying modular design, testing, version control and automated delivery.
• Build automation, integrations and internal platform tools in Python that make systems more reliable and repeatable and let developers serve themselves.
• Where relevant, help deploy and run workloads on Kubernetes.
• Where relevant, help automate, integrate and operate data and AI workloads on Azure Databricks.

Requirements

• Working knowledge of agentic system architecture and platform features, including model and tool integration, MCP, context management, identity, security, observability, evaluation and governance.
• Proven hands-on experience designing, building and running Azure infrastructure, with solid fundamentals in compute, networking, storage, identity, security, governance and containers.
• Strong Infrastructure as Code skills, Terraform in particular, and a track record of building maintainable, reusable, well-tested modules.
• Strong Python skills for scripting or development in infrastructure automation, platform integration and internal tooling.
• Experience with Kubernetes and Azure Databricks, or comparable data and AI platforms, is beneficial.
• If your direct experience is limited, you can get up to speed quickly with little guidance and training.

Conditions

If your role does not require you to be in the office, your place of work can be arranged individually, including up to 20 days a year from anywhere in the EU.

Benefits

• 30 days of paid vacation per year, plus an extra day on Rosenmontag.
• Unpaid vacation of up to 10 days, available after one year with the company.
• Support for personal development through internal and external training.
• Urban Sports Club membership (M package) covering a wide range of sports.
• Team-building events and regularly scheduled parties.