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Software Engineer (Backend, Go)

Doodle · Berlin, Germany

Quick applyfull-time12 days ago

About The Role

Join our team as a Software Engineer (Backend, Go) and take ownership of designing, building, and deploying robust, scalable, high-performance services. You will work in a high-velocity environment, using modern AI-assisted engineering tools to supercharge your iterations. You should have professional experience in designing and shipping production-ready backend services in Go, as well as experience with distributed systems, microservices, and event-driven architectures on Kafka. A Bachelor's in Computer Science or a related technical field is required, and you must be based in Germany with the full right to work.

  • Design, build, and deploy robust, scalable, high-performance backend services in Go that power core platforms.
  • Expose backend endpoints through GraphQL, focusing on efficient data fetching, query optimization, and clean integration with front-end systems.
  • Build event-driven solutions on Kafka for smooth data flow, system reactivity, and extreme reliability.
  • The Toolkit: Professional experience designing, building, and shipping production ready backend services in Go
  • The System Thinking: You can read, debug, and understand multi language codebases. You can trace logic through existing Java services
  • The Mindset: Hands on experience with distributed systems, microservices, and event driven architectures on Kafka
  • The Foundation: A Bachelor's in Computer Science, a related technical field, or equal practical experience
  • The APIs: Experience designing and serving APIs, ideally GraphQL
  • The AI Edge: Advanced use of modern AI assisted engineering tools to safely speed up backend testing, generation, and architecture validation
  • The Fundamentals: A strong base in data structures, algorithms, and distributed system design
  • The Location: You are based in Germany with full right to work. We cannot sponsor visas or support relocation at this time
  • The Cloud: Experience with AWS, Docker, and Kubernetes

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