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

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.

Own and ship agent-powered features end-to-end, from idea to production. Design, build, and deploy AI agents in production that interact with ERPs, emails, and supplier portals to achieve measurable outcomes.

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

Own and evolve Raisin's frontend platform, focusing on performance, scalability, and developer experience. Drive automation, CI/CD, and tooling to accelerate testing and delivery across product teams.

Lead a team building scalable data solutions for Kubernetes and cloud environments. Hire, coach, mentor, provide feedback, and contribute code when needed while promoting engineering excellence.

As an experienced Mobile and Web Frontend Engineer, you will work on Raisin’s customer-facing web and mobile platforms and build internal tooling for operations teams. You will own the design, implementation, deployment, and lifecycle of features, collaborate with the UX team to solve problems, and contribute to agile, end-to-end ownership and ongoing team improvement.

Build and lead reliability initiatives for ClickHouse Core, improving reliability, availability, scalability, and performance. Own incident response, post-mortems, and on-call processes across engineering teams.

Design, implement and maintain high-quality iOS features with a focus on usability, performance, and security. Own end-to-end delivery of features from design translation to testing, releases support and post-release monitoring.

Design, implement, and maintain evaluation frameworks for ASR and NLP systems to measure accuracy and real-world performance. Lead ASR quality improvement, build scalable evaluation, and deploy models for speech recognition and related tasks.

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.