Platform Engineer

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, Get Your Guide , Babbel, and Personio. Millions of prompts are sent every week through our platform, providing secure, scalable AI solutions that integrate seamlessly with existing workflows.

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 ’ll be responsible for deploying our platform to customer clouds (Azure, AWS, GCP, Open Shift), 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.

• 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, Open Shift)
• 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

• 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, Cloud Formation)
• CI/CD pipeline development with Git Hub Actions or similar platforms
• Command-line proficiency
• Understanding of networking, security, and monitoring in cloud environments
• Fluent English and B2 German for documentation and customer communication

• 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 Postgre
  
  SQL and Redis
• Experience with secrets management tools like Hashi Corp Vault, or cloud-native solutions

• 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, Git Hub Actions, Postgre

SQL, Redis