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Specialized Neo4j platform skillset plus metro location and mid-level seniority yields moderate applicant competition.
Role requires niche graph database and platform skills, making cross-industry transferability limited.
Multiple explicit mandatory requirements (Neo4j expertise, DB/platform experience, Kubernetes, observability) make filters strict.
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Manage and ensure availability, consistency, and high-performance of multiple Neo4j graph databases including multi-node clusters for critical applications.
Design and administer scalable data storage solutions including encryption, backup & recovery, LDAP-based authentication, and high availability architectures for Neo4j.
Collaborate with cross-functional teams to support data analytics by building and maintaining graph database environments, troubleshooting issues, and deploying observability systems like Prometheus and Grafana.
Minimum 5+ years of database management experience, especially with Neo4j and Cypher query language.
Minimum 5+ years managing data platforms; total minimum 5+ years technology experience (7+ years in lieu of degree).
Experience with Neo4j Enterprise features including clustering, encryption, backup/recovery, LDAP authentication, and high availability architectures.
Flexible work timings with availability between 06:00 AM – 11:30 AM Eastern Time; occasionally required to travel to Hyderabad or Regional Engagement Hubs.
Strong expertise and hands-on experience in Neo4j platform engineering and graph-driven data science applications (graph embeddings, graph neural networks).
Proven ability to manage mission-critical, scalable data platform architectures with emphasis on high availability and disaster recovery in enterprise environments.
Experienced in deploying and administering applications in Kubernetes environments and operationalizing observability and monitoring tools for database systems.