
Senior Platform Engineer
Posted Oct 15

Posted Oct 15
This is a fully remote position, open to applicants in Germany.
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.
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.
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.
Leega
Huron
Sortitt
Avaya
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