Senior Software Engineer (Backend, Java)
Doodle
- Berlin, Germany
- Senior Level
- Bachelor's degree
- Posted
Skills
Required
- backend
- Java
- Kafka
- GraphQL
- Distributed Layer
- distributed systems
- microservices
- event driven architectures
- multi language codebases
- modern AI
- Docker
- Kubernetes
Preferred
- Expose backend endpoints
- query optimization
- clean integration
Join Doodle, a leading B2B SaaS platform revolutionizing scheduling and productivity. As a Senior Software Engineer, you'll design, build, and deploy high-performance backend services in Java, while collaborating with cross-functional teams to create elegant technical solutions. You'll have the opportunity to work with cutting-edge AI-assisted engineering workflows and make a significant impact on customer experience.
About Doodle
You'll thrive here if you are a builder who values customer impact as much as clean systems
Responsibilities
- Design, build, and deploy robust, scalable, high-performance backend services in Java that power core platforms.
- Expose backend endpoints through GraphQL, ensuring efficient data fetching, query optimization, and clean integration with frontend systems.
- Architect and implement event-driven solutions on Kafka for seamless data flow, system reactivity, and extreme reliability.
Requirements
- The Distributed Layer: Practical experience with distributed systems, microservices, and event driven architectures built on Kafka
- The Foundation: A Bachelor's in Computer Science, a related technical field, or equal practical experience
- The Systems Mind: Strong systems level thinking, with the ability to read, debug, and understand multi language codebases
- The Toolkit: Professional experience designing, developing, and shipping production ready, highly concurrent backend services in Java
- The AI Edge: Advanced experience using modern AI assisted engineering workflows (Specs, Loops, agentic tools) to safely speed up backend testing, generation, and architecture validation
- The Infra: Deep knowledge of reactive programming models, cloud infrastructure (AWS or GCP), and containerization (Docker, Kubernetes)
- The Fundamentals: A strong foundation in computer science fundamentals: data structures, algorithms, and distributed system design
- The API Layer: Experience designing and serving APIs, ideally GraphQL
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