Rust Jobs in Germany
Explore the latest Rust developer opportunities in Germany
Explore the latest Rust developer opportunities in Germany
9 jobs found
Assist in designing agent reasoning loops, prompts, and safety constraints for AI SRE agents; help build tool integrations with Grafana, Prometheus, Kubernetes, and Cloud APIs. Collaborate with senior SREs to translate complex SRE workflows into AI-powered features and help establish guardrails and evaluation suites.
Develop high-quality Java backend software for cloud infrastructure that manages the device fleet, collaborating on microservices, API design, testing, and CI/CD.
Develop high-quality Java backend software in the Machine Infrastructure team to manage the device fleet. Contribute to microservices, CI/CD, API design, testing, and documentation.
Lead scoping, planning, and implementation of complex features across the full software lifecycle on GCP with React frontend and serverless Express backend in TypeScript. Drive architectural decisions, establish engineering standards, and mentor engineers while advancing AI integration.
You will work on end-to-end product development, contributing backend and frontend work and improving our frontend applications. You will develop features, implement microservices, ensure code quality, and help design scalable applications using Docker, Kubernetes, and Google Container Engine.
Lead the multi-cloud infrastructure and data platform strategy, owning Kubernetes-based deployments and IaC across GCP, Azure, AWS, and on-premise environments. Design, build, and operate core data pipelines and APIs to support scalable data engineering for Fortune 500 customers.
As a DevOps Engineer, you will be part of a four-person DevOps squad, helping to develop IT platforms and build container-based customer and development platforms. You will implement and evaluate DevOps strategies, collaborate with software teams to integrate DevOps practices, and create and optimize CI/CD pipelines to automate builds and deployments.
Build software for a data pipeline to curate and generate synthetic, multi-modal data for AI training. Develop real-time, low-latency streaming software for distributed client/server apps and contribute to tools for evaluating AI models.
Develop high-quality Java backend software (Spring or Quarkus) with features, performance, testing, and documentation. Collaborate in a cross-functional team to build microservices for production and device fleet operations and participate in CI/CD.