Discover newly added software engineering jobs across Germany and remote teams.

End-to-end ML product development from prototype to production features; build automated ML pipelines with CI/CD and monitor models in the cloud. Contributes to software design for decentralized energy systems, enables self-service data access, and upholds code quality with engineering leadership.

Shape the product by owning and building key frontend and backend features that streamline debugging and monitoring for developers. Collaborate with open-source contributors and customers to incorporate feedback into the roadmap and scale the cloud-hosted HyperDX platform.

Design, develop, and maintain MLOps infrastructure and workflows to deploy, monitor, and scale ML models. Collaborate with data scientists, engineers, and the Infrastructure team to operationalize ML in production.

Develop and maintain a proprietary trading system in a high-performance crypto finance environment. Implement backend Python components and frontend interfaces, and design full-stack features to support automated trading workflows and real-time data processing.

Develop and automate data platform features using Python. Work on fault-tolerant distributed systems and data infrastructure automation.

Develop and automate infrastructure features for data platforms using Python. Collaborate with a distributed team to ensure fault-tolerant deployments of Kafka-based systems.

Develop, configure, deploy, and optimize AI agents using Cresta’s platform. Collaborate with customers and internal teams to integrate agents with external systems and ensure successful deployments.

Automate OpenSearch features and data platform components, focusing on operational automation rather than data analysis. Collaborate with an international team, write Python code, debug issues, and travel 2 to 4 weeks per year.

Develop and maintain high-performance data-driven systems in a distributed infrastructure powering the Freenow marketplace. Enhance MLOps capabilities and implement ML observability for reliable production models.

Design, develop, and operate the cloud and on-premise product variants. Scale compute-intensive workloads and drive cloud architecture decisions while improving issue visibility and enabling continuous delivery.