Title : Backend Developer preferably with Neo4j and graph
Location : Mountain View CA Onsite Only Local Only
Rate : On C2C/W2
Job Description:
We are looking for a Backend Developer with extensive experience in backend ensuring development and deep expertise in managing and scaling Neo4j graph database infrastructure. The role requires a hands-on engineer capable of designing efficient data models optimizing graph queries and high availability and performance of the Neo4j environment.
Key Responsibilities:
- Design and develop scalable backend services and APIs using modern frameworks.
- Deploy configure and manage Neo4j infrastructure in production environments (on-premise or cloud).
- Implement data modeling and indexing strategies specific to graph-based data structures.
- Monitor database health optimize Cypher queries and ensure performance tuning.
- Automate backup restore and disaster recovery processes for Neo4j.
- Collaborate with data scientists architects and developers to integrate Neo4j into backend systems.
- Work with DevOps to automate deployment and scaling using containerization tools.
Technical Skills Required:
- Proficient in backend programming languages such as Java Python or .
- Deep experience in Neo4j administration configuration clustering and performance tuning.
- Strong command of Cypher Query Language.
- Experience with Docker Kubernetes and infrastructure-as-code tools (e.g. Terraform Helm).
- Familiarity with monitoring tools like Prometheus Grafana or Neo4j Ops Manager.
- Experience working with RESTful APIs microservices architecture and cloud platforms (AWS/GCP/Azure).
Preferred Qualifications:
- Bachelors or Masters in Computer Science or a related field.
- Certification in Neo4j (optional but a plus).
- Prior experience managing large-scale production Neo4j clusters.
- Strong understanding of graph data modeling indexing and query optimization.
- Excellent problem-solving skills and a strong team player.
Title : Backend Developer preferably with Neo4j and graph Location : Mountain View CA Onsite Only Local Only Rate : On C2C/W2 Job Description: We are looking for a Backend Developer with extensive experience in backend ensuring development and deep expertise in managing and scaling Neo4j graph...
Title : Backend Developer preferably with Neo4j and graph
Location : Mountain View CA Onsite Only Local Only
Rate : On C2C/W2
Job Description:
We are looking for a Backend Developer with extensive experience in backend ensuring development and deep expertise in managing and scaling Neo4j graph database infrastructure. The role requires a hands-on engineer capable of designing efficient data models optimizing graph queries and high availability and performance of the Neo4j environment.
Key Responsibilities:
- Design and develop scalable backend services and APIs using modern frameworks.
- Deploy configure and manage Neo4j infrastructure in production environments (on-premise or cloud).
- Implement data modeling and indexing strategies specific to graph-based data structures.
- Monitor database health optimize Cypher queries and ensure performance tuning.
- Automate backup restore and disaster recovery processes for Neo4j.
- Collaborate with data scientists architects and developers to integrate Neo4j into backend systems.
- Work with DevOps to automate deployment and scaling using containerization tools.
Technical Skills Required:
- Proficient in backend programming languages such as Java Python or .
- Deep experience in Neo4j administration configuration clustering and performance tuning.
- Strong command of Cypher Query Language.
- Experience with Docker Kubernetes and infrastructure-as-code tools (e.g. Terraform Helm).
- Familiarity with monitoring tools like Prometheus Grafana or Neo4j Ops Manager.
- Experience working with RESTful APIs microservices architecture and cloud platforms (AWS/GCP/Azure).
Preferred Qualifications:
- Bachelors or Masters in Computer Science or a related field.
- Certification in Neo4j (optional but a plus).
- Prior experience managing large-scale production Neo4j clusters.
- Strong understanding of graph data modeling indexing and query optimization.
- Excellent problem-solving skills and a strong team player.
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