Senior Platform Engineer

Posted Oct 15

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

πŸ“‹ Description

β€’ Take full ownership of platform capabilities within a specified scope, managing everything from understanding requirements to delivery and operational enhancements.

β€’ Work closely with stakeholders and coordinate with senior engineers regarding significant architectural decisions that have a broad impact.

β€’ Assess emerging technologies and make practical technical selections.

β€’ Proactively identify opportunities and risks early on, enhancing engineering practices.

β€’ Design, develop, and advance the agentic AI platform.

β€’ Analyze managed cloud services, open-source technologies, and decide between building, buying, or adopting a hybrid approach.

β€’ Create, build, and maintain secure, reliable, scalable, and cost-effective infrastructure on Microsoft Azure.

β€’ Develop and sustain reusable Infrastructure as Code using Terraform.

β€’ Create automation, integrations, and internal platform tools utilizing Python.

β€’ Assist in the deployment and management of workloads on Kubernetes.

β€’ Support automation, integration, and operation of Data and AI workloads on Azure Databricks.


⛳️ Requirements

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

β€’ Strong hands-on experience in designing, building, and managing infrastructure within Microsoft Azure.

β€’ Solid foundational knowledge in infrastructure encompassing compute, networking, storage, identity, security, governance, and containers.

β€’ Extensive experience with Infrastructure as Code, particularly using Terraform.

β€’ Capability to develop maintainable, reusable, and thoroughly tested infrastructure modules.

β€’ Strong background in Python scripting or development for infrastructure automation, platform integrations, and internal tooling.

β€’ Familiarity with Kubernetes and Azure Databricks, or similar Data and AI platforms, is advantageous.

β€’ Ability to become productive quickly with minimal guidance and training, particularly in areas where direct experience may be limited.


🏝️ Benefits

β€’ Flexible work-from-home options, including the ability to work from anywhere in the EU for up to 20 days annually when office presence is not necessary.

β€’ Support for individual development through a variety of internal and external training programs.

β€’ 30 days of paid vacation each year, plus an additional day off on Rosenmontag.

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

β€’ Membership to Urban Sports Club (M package).

β€’ Engaging team events and regularly scheduled celebrations.

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