Software Engineer (Backend, Java)

Doodle; Berlin; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

Doodle, a B2B SaaS platform for scheduling and collaboration, seeks a backend engineer based in Germany. You will design and ship high-performance Java services, leverage Kafka for data workflows, and expose efficient GraphQL APIs.

The role emphasizes ownership, cross-functional collaboration, and scalable architectures. Experience with distributed systems, microservices, Docker/Kubernetes, and modern AI-assisted engineering workflows will help you drive rapid iteration and robust backend

Qualifikationen

• The Foundation: A Bachelor’s in Computer Science, a related technical field, or equal practical experience
• The Toolkit: Professional experience designing, developing, and shipping production ready, highly concurrent backend services in Java
• You’ll thrive here if you are a builder who values customer impact as much as clean systems
• The Systems Mind: Strong systems level thinking, with the ability to read, debug, and understand multi language codebases
• The Distributed Layer: Practical experience with distributed systems, microservices, and event driven architectures built on Kafka
• 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

Aufgaben

• Own the Backend: Design, build, and deploy robust, scalable, high performance backend services in Java that power our core platforms
• Serve the Data: Expose backend endpoints through GraphQL, with efficient data fetching, query optimization, and clean integration with frontend systems
• Architect for Scale: Build event driven solutions on Kafka for seamless data flow, system reactivity, and extreme reliability
• See the Whole System: Keep full visibility across the backend ecosystem, and understand how services integrate across our distributed infrastructure
• Ship with AI: Use LLM and agentic tools to move fast, while keeping total ownership and full understanding of the generated code
• Solve Time: Tackle the hard challenges around how Time is managed, processed, and presented across the globe
• Translate the Hard Stuff: Work closely with cross functional teams to turn complex scheduling requirements into clean, elegant technical solutions

Kenntnisse

Java backend development

Go

Kafka

Distributed systems

Event-driven architecture

GraphQL

Docker

Kubernetes

AI-assisted engineering workflows

Cloud platforms

Ausbildung

Bachelor's in Computer Science or related field

Tools

Docker

Kubernetes

GraphQL

AWS

GCP

Jobbeschreibung

• Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration across teams and companies. We are building the future of scheduling and productivity. We work on hard problems at the meeting point of human collaboration and digital efficiency. We craft elegant solutions to complex problems, and we are looking for passionate problem solvers who share this drive
• We aren’t just looking for someone to “write code.” You are more than a coder. You thrive on shipping products that matter. You always find a way to reach the goal
• Our core backend runs on a high performance, polyglot ecosystem of Go and Java services built on Kafka, aiming for high throughput. We value engineers who are naturally curious and proactive. You will read, trace, and understand workflows across the entire codebase, looking beyond your primary language to solve complex problems
• We love high velocity. We actively encourage our engineers to use LLM and agentic tools (Specs, Loops, and agentic workflows) to iterate fast and build systems. We stay provider agnostic (Anthropic, OpenAI, Cursor, local models, or self hosted models in the cloud). Use these tools to supercharge your iterations. We pair that speed with deep pride in ownership. A natural “READ THE CODE” mindset, where you keep a full understanding of, and full accountability for, every line you bring across the finish line
• Own the Backend: Design, build, and deploy robust, scalable, high performance backend services in Java that power our core platforms
• Serve the Data: Expose backend endpoints through GraphQL, with efficient data fetching, query optimization, and clean integration with frontend systems
• Architect for Scale: Build event driven solutions on Kafka for seamless data flow, system reactivity, and extreme reliability
• See the Whole System: Keep full visibility across the backend ecosystem, and understand how services integrate across our distributed infrastructure
• Ship with AI: Use LLM and agentic tools to move fast, while keeping total ownership and full understanding of the generated code
• Solve Time: Tackle the hard challenges around how Time is managed, processed, and presented across the globe
• Translate the Hard Stuff: Work closely with cross functional teams to turn complex scheduling requirements into clean, elegant technical solutions

The Foundation: A Bachelor’s in Computer Science, a related technical field, or equal practical experience

The Toolkit: Professional experience designing, developing, and shipping production ready, highly concurrent backend services in Java

You’ll thrive here if you are a builder who values customer impact as much as clean systems

The Systems Mind: Strong systems level thinking, with the ability to read, debug, and understand multi language codebases

The Distributed Layer: Practical experience with distributed systems, microservices, and event driven architectures built on Kafka

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 Location: You are based in Germany with full right to work. We cannot sponsor visas or support relocation at this time

The API Layer: Experience designing and serving APIs, ideally GraphQL