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Infrastructure Engineer

Enterprise-ready AI platform helping organizations drive internal AI adoption through AI Chat, Assistants, Search, API, and Workflows solutions.
$66,000 - $102,000
DevOps
Entry-Level Software Engineer
In-Person
101 - 500 Employees
1+ year of experience
AI · Enterprise SaaS
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Description For Infrastructure Engineer

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.

Last updated 16 days ago

Responsibilities For Infrastructure Engineer

  • Manage and improve CI/CD pipelines for automated testing, building, and deployment
  • Deploy and maintain platform across multiple customer cloud environments (GCP, AWS, Azure, OpenShift)
  • Automate infrastructure provisioning using Infrastructure as Code
  • 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

Requirements For Infrastructure Engineer

Kubernetes
Redis
PostgreSQL
  • 1-2 years of hands-on experience with cloud infrastructure and deployments
  • Strong knowledge of containerization with Docker and orchestration with Kubernetes
  • Experience with major cloud providers: AWS, GCP, Azure, and/or OpenShift
  • Infrastructure as Code experience with Terraform or similar tools
  • CI/CD pipeline development with GitHub Actions, GitLab CI, or similar platforms
  • Linux system administration and command-line proficiency
  • Understanding of networking, security, and monitoring in cloud environments
  • Fluent English for technical documentation and customer communication

Benefits For Infrastructure Engineer

Equity
  • Equity
  • Annual Bonus $10K – $30K

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