Senior Software Engineer at Neo4j
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

15 Dec, 26

Salary

0.0

Posted On

16 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Software Development & Publishing

Description

The Role


As a Senior Software Engineer, you will shape the core intelligence of GraphAware Hume, our graph-powered analytics platform.


Your Responsibilities Will Include


  • Building APIs for intuitive user interaction with complex data
  • Designing secure, scalable access control systems for mission-critical environments
  • Orchestrating workflows to automate graph analytics, inference, and real-time insights
  • Optimizing application performance and collaborating with other engineers to ensure seamless user experiences
  • Contributing to architecture and technical design with the team

What you must know already and be excited to grow further


  • Proven experience in backend systems (8+ years) with exposure to large-scale, complex applications and cross-functional teams
  • Fluency in Java, with a deep understanding of modern software engineering principles, including:
    • Clean Architecture, Domain-Driven Design (DDD), and Test-Driven Development (TDD)
    • Advanced debugging and profiling techniques,
    • Writing composable, maintainable, and testable code
  • Spring or similar frameworks with emphasis on building secure, modular, and scalable APIs
  • Experience designing data models, both relational (e.g., PostgreSQL) and ideally graph-based (Neo4j or similar)
  • Working knowledge of modern CI/CD pipelines, containerization (Docker), and automated deployment workflows
  • Strong security mindset, with practical knowledge of secure software design and common vulnerabilities (e.g., OWASP)
  • Comfortable with remote team collaboration, i.e. tools and practices for asynchronous communication

Bonus Points For Familiarity With


  • Graph technologies: Cypher, Neo4j, knowledge graph
  • Event-driven architectures, Kafka, or distributed systems
  • Cloud-native development, observability, and performance tuning
  • Experience working with LLMs or integrating AI/ML into production systems

How To Apply:

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Responsibilities
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