About Langdock We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build out custom AI use-cases. We serve over 1500 customers, from DAX companies to small startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. Millions of prompts are sent every week through our platform, providing secure, scalable AI solutions that integrate seamlessly with existing workflows. About the Role As an Platform Engineer at Langdock, you will play a key role in building and maintaining the backbone of our enterprise AI platform. In this full-time, on-site position at our Berlin headquarters, you’ll contribute to our deployment infrastructure and lead integrations with customer cloud environments. You’ll work hands-on with the latest cloud and container technologies, ensuring our platform runs reliably and securely for some of Europe’s top enterprises. This role is ideal for someone passionate about cloud operations, automation, and supporting real-world AI deployments at scale. You’ll be responsible for deploying our platform to customer clouds (Azure, AWS, GCP, OpenShift), automating infrastructure with modern tools, and collaborating directly with customer IT teams. Native-level or B2 German language skills are required, as you’ll frequently communicate with customers, whose primary language is sometimes German. Responsibilities Manage and improve CI/CD pipelines for automated testing, building, and deployment Deploy and maintain our platform across multiple customer cloud environments (GCP, AWS, Azure, OpenShift) Automate infrastructure provisioning using Infrastructure as Code (Terraform, Bicep) Monitor and optimize application performance and infrastructure costs Ensure security and compliance across different cloud environments Collaborate with Product Engineers to support new feature deployments Troubleshoot and resolve infrastructure and deployment issues Document deployment processes and maintain runbooks for different environments Required Skills 2 years of hands-on experience with cloud infrastructure and deployments Strong knowledge of containerization with Docker and orchestration with Kubernetes Strong experience with at least one of the major cloud providers: AWS, GCP or Azure Infrastructure as Code experience with Terraform or similar tools (Bicep, CloudFormation) CI/CD pipeline development with GitHub Actions or similar platforms Command-line proficiency Understanding of networking, security, and monitoring in cloud environments Fluent English and B2 German for technical documentation and customer communication Strong Plus Enterprise deployment experience with security, compliance, and multi-tenancy requirements Experience with Azure Container Apps and Azure-specific services Monitoring and observability tools like Prometheus, Grafana, or Application Insights Database administration experience with PostgreSQL and Redis Experience with secrets management tools like HashiCorp Vault, or cloud-native solutions Timeline After Start Weeks 1-2: Onboarding and familiarization with our infrastructure setup and deployment processes Weeks 3-6: Work on smaller infrastructure tasks and shadow experienced engineers on customer deployments Week 6: Own infrastructure projects, customer cloud deployments, and CI/CD pipeline improvements Tech Stack: Kubernetes, Docker, Terraform, Azure Container Apps, GitHub Actions, PostgreSQL, Redis