Langdock is seeking a skilled Infrastructure Engineer to join their team in Berlin, Germany. This role focuses on managing deployment infrastructure and customer cloud integrations for their enterprise AI platform. The position offers a competitive salary range of $66K-$102K plus equity and bonus opportunities.
The ideal candidate will have 1-2 years of experience working with cloud infrastructure and deployments. You'll be responsible for managing CI/CD pipelines, deploying and maintaining the platform across multiple cloud environments (GCP, AWS, Azure, OpenShift), and automating infrastructure provisioning using tools like Terraform.
Langdock serves over 800 customers, including major enterprises like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. Their platform processes millions of prompts weekly, providing secure and scalable AI solutions that integrate with existing workflows. The tech stack includes modern technologies like Kubernetes, Docker, Terraform, Azure Container Apps, GitHub Actions, PostgreSQL, and Redis.
The role offers a structured onboarding process, starting with familiarization of infrastructure setup and gradually progressing to owning infrastructure projects and customer cloud deployments. You'll work in a collaborative environment, interfacing with Product Engineers and contributing to the company's growth in the AI space.
Key responsibilities include managing CI/CD pipelines, deploying across multiple cloud environments, automating infrastructure, ensuring security compliance, and maintaining documentation. The position requires strong technical skills in containerization, cloud platforms, Infrastructure as Code, and Linux administration, along with fluent English communication skills.
This is an excellent opportunity for a DevOps professional looking to work with cutting-edge cloud technologies while supporting enterprise AI deployments. The role offers hands-on experience with modern infrastructure tools and the chance to impact how organizations implement AI solutions securely and efficiently.