Backend Java Developer (with Neo4j Infrastructure Expertise)::San Diego, CA (Onsite)

We are seeking a skilled Backend Java Developer with hands-on experience in managing Neo4j infrastructure. The ideal candidate will have a strong background in Java development and be capable of deploying, maintaining, and optimizing Neo4j graph databases in production environments. This role bridges backend engineering with graph database infrastructure operations., * Develop and maintain scalable backend services using Java, Spring Boot, and related technologies

• Design and integrate graph-based data models using Neo4j
• Write efficient and optimized Cypher queries for application use cases
• Manage the deployment, configuration, monitoring, and scaling of Neo4j instances (on-premises or in the cloud)
• Ensure database reliability, availability, and performance in production and staging environments
• Implement backup, recovery, and security strategies for Neo4j databases
• Collaborate with DevOps teams to integrate Neo4j into CI/CD pipelines and monitoring systems
• Analyze and tune query and indexing performance
• Support developers and analysts with graph data access and model design

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• 3+ years of experience in backend development with Java and Spring Boot
• 1+ years of hands-on experience managing Neo4j infrastructure in production environments
• Proficiency with Cypher query language and graph data modeling
• Experience with system administration tasks related to databases (e.g., backups, monitoring, tuning)
• Familiarity with Docker, Kubernetes, or containerized deployments
• Understanding of Linux environments and shell scripting
• Experience with DevOps tools like Prometheus, Grafana, Ansible, or Terraform

Preferred Qualifications:

• Experience deploying Neo4j in high-availability or clustered environments
• Knowledge of Neo4j Aura, K8s Operator, or Graph Data Science (GDS) library
• Exposure to cloud platforms (AWS, GCP, Azure) - especially Amazon EC2, EKS, or GCP Compute Engine
• Familiarity with message queues (Kafka, RabbitMQ) and microservices architectures
• Prior experience with graph use cases like recommendation engines, fraud detection, or knowledge graphs