Cloud Platform Engineer

In this position, you will take full ownership of designing, building, and managing the Azure cloud infrastructure that powers their cutting-edge AI platform. Your scope covers everything from spearheading Kubernetes environments and CI/CD pipelines to driving overall system automation and collaborating closely with software and machine learning teams to seamlessly support AI workloads, optimize system costs, and establish rock-solid security practices., Take complete technical charge of architecting, deploying, and supporting the Azure cloud environments that host the primary AI platform.

Design and oversee high-scale container orchestration using Docker and Kubernetes to handle live application workloads.

Establish, deploy, and refine CI/CD automated pipelines to facilitate frictionless software delivery.

Lead automation efforts by implementing solid Infrastructure as Code (IaC) practices with Terraform or Bicep.

Work in close partnership with software and ML engineering teams to smoothly integrate and scale complex AI processing jobs.

Define and maintain high standards for cloud security, network configuration, in-depth system monitoring, and platform stability.

Guarantee high availability, cost efficiency, and top performance of live systems to align with growing business requirements., In this role, you will work fully remote from anywhere in Germany, allowing for maximum individual flexibility and focus.

We are looking for a highly autonomous, proactive engineer with 2+ years of hands-on production experience in Cloud Engineering or DevOps, boasting strong expertise in Microsoft Azure, Infrastructure as Code, and Docker/Kubernetes, alongside excellent English communication skills., At least 3 years of practical experience working as a DevOps, Cloud, Platform, or Site Reliability Engineer.

In-depth experience running production systems on Microsoft Azure, including sophisticated architecture, network setups, IAM, and security protocols.

Demonstrated capability in applying Infrastructure as Code (IaC) concepts, particularly using Terraform or Bicep in live systems.

Sound expertise working with container technologies and orchestration, with a primary focus on Docker and Kubernetes.

Advanced knowledge of setting up and managing CI/CD workflows using systems like GitHub Actions or Azure DevOps.

Good fundamental knowledge of Linux systems, scripting languages, security best practices, and infrastructure monitoring.

A proven history of building and running cost-conscious, reliable, and highly scalable production setups.

Strong analytical mindset, a high degree of accountability, and excellent English skills suited for a fast-moving startup environment.

Competitive base salary up to €95k + bonus and/or equity (negotiable based on experience)

High technical ownership with a direct impact on system architecture and engineering standards from day one

Direct collaboration with a top-tier team of AI and automation experts

A fully remote work setup providing a high degree of individual flexibility