Senior Platform Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Create, develop, and enhance the agentic AI platform.

• Assess managed cloud services, open-source solutions, and determine build, buy, or hybrid strategies based on technical and operational considerations.

• Design, construct, and maintain secure, dependable, scalable, and cost-effective infrastructure within Microsoft Azure.

• Collaborate across compute, networking, storage, identity, security, and governance domains.

• Develop and uphold reusable Infrastructure as Code utilizing Terraform.

• Adhere to best practices for modular design, testing, version control, and automated deployment.

• Create automation, integrations, and internal platform tools using Python.

• Enhance reliability, repeatability, and developer self-service.

• Participate in the deployment and management of workloads on Kubernetes.

• Contribute to the automation, integration, and management of Data and AI workloads on Azure Databricks.

• Take independent ownership of platform capabilities from requirements gathering through delivery and operational enhancements.

• Work closely with stakeholders and coordinate with senior engineers on significant architectural decisions.

• Assess emerging technologies, make pragmatic technical selections, identify opportunities and risks early, and enhance engineering practices.

• Empower teams to build, deploy, govern, and operate AI agents in a safe and reliable manner.

⛳️ Requirements

• Practical experience and knowledge in agentic-system architecture and platform capabilities, including model and tool integration, MCP, context management, identity, security, observability, evaluation, and governance.

• Strong hands-on experience in designing, building, and managing infrastructure in Microsoft Azure.

• Solid understanding of infrastructure fundamentals across compute, networking, storage, identity, security, governance, and containers.

• Significant experience with Infrastructure as Code, especially Terraform.

• Ability to develop infrastructure modules that are maintainable, reusable, and well-tested.

• Strong Python scripting or development experience for infrastructure automation, platform integrations, and internal tools.

• Experience with Kubernetes and Azure Databricks, or similar Data and AI platforms, is advantageous.

• Capability to quickly become productive with minimal supervision and training.

🏝️ Benefits

• Flexible work-from-home arrangement, allowing for up to 20 days per year working from anywhere in the EU.

• 30 days of paid vacation annually, plus an additional day on Rosenmontag.

• Option to take up to 10 days of unpaid vacation after completing one year with the company.

• Urban Sports Club membership (M package).

• Individual development support through various internal and external training opportunities.

• Engaging team events and regularly scheduled social gatherings.