Key skills
AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesPythonPyTorchSDLCSQLTensorflowTerraformGoAIMachine LearningTensorFlowMLOpsGCPGoogle CloudGitLab CITerragruntGitLabCI/CDStakeholder ManagementCommunication
About this role
Role Overview
- Develop, maintain, and optimize CI/CD processes (especially GitLab CI) for machine learning systems in the cloud
- Create tools and processes for monitoring, logging, and analyzing the performance of deployed AI solutions
- Implement infrastructure in mixed-cloud environments (primarily GCP, additionally AWS and/or Azure), using microservices, containers (Docker, Kubernetes), and Infrastructure-as-Code with Terraform, Terragrunt, and OpenTofu
- Optimize and automate infrastructure scaling using the latest cloud technologies
- Collaborate with cross-functional teams to identify and implement MLOps/DevOps requirements
- Build and maintain test and production environments on cloud platforms for deploying AI products
- Apply cloud-native design patterns, infrastructure best practices, and network concepts to ensure scalable and secure deployments.
Requirements
- Strong DevOps background; MLOps experience is a plus
- Excellent understanding of software engineering best practices, including modularity, maintainability, and SDLC processes; familiarity with principles like DRY and cloud-native design patterns is highly desirable
- Hands-on experience with cloud infrastructures (particularly GCP), CI/CD pipelines, containers, Terraform, and applications using CUDA/GPU/TPU
- Experience with AWS, Azure, Terragrunt, OpenTofu, and Kubernetes is an advantage
- Strong skills in Python, SQL, TensorFlow, and PyTorch
- Knowledge of JavaScript and Go is beneficial
- Experience with cloud migrations is an additional plus
- Strong stakeholder management skills across clients and functional teams
- Excellent documentation and communication skills to make technical concepts understandable for non-technical audiences
- Team player, enthusiasm for AI, and a commitment to continuous learning
- Fluent German and English language skills.
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Google Cloud Platform
- JavaScript
- Kubernetes
- Microservices
- Python
- PyTorch
- SDLC
- SQL
- Tensorflow
- Terraform
- Go
Benefits
- 30 days of annual leave
- Days off on Christmas Eve and New Year's Eve
- Full coverage of the Germany JobTicket (public transport)
- Individual professional development budget per team member for conferences, certifications, or external courses
- Opportunities for further training through regular (external) workshops, hackathons, and networking events
- Modern, ergonomically designed workspaces