About Neo4j
Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world's largest graph community. Intelligence that works. Results that matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
Our Vision
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive.
Neo4j Technical Onboarding Engineers play a critical role in supporting our customers, early in their Neo4j journey, to ensure the success of their project.
As a Technical Onboarding Engineer, you will lead new customers from signed contracts to getting them started on planning all aspects to build a production-ready Neo4j environment. You'll provide guidance on critical aspects of their project (cloud provisioning, security, networking, data import, app integration) along with enablement (workshops, docs, handover). You will shape onboarding plans aligned to our onboarding tiers, orchestrate delivery across workstreams, and ensure a predictable timetovalue - partnering closely with Professional Services and Cloud Operations teams.
For AuraDB customers, you will leverage the service's automationprovisioning, upgrades, and backupswhile focusing on data modeling, connectivity, and application success. For selfmanaged customers, you will apply infrastructureascode and platform engineering practices to deliver secure, resilient clusters.
Responsibilities Overview
- Plan & Kickoff drive technical discovery; confirm success criteria/KPIs; align on the onboarding plan, milestones, and risks.
- Facilitate with templates, planning & guidance
- Environment Provisioning - Neo4j AuraDB tenants or Neo4j clusters in AWS/Azure/GCP.
- Environment Security security groups, TLS/SSL, encryption at rest/in transit, and baseline hardening.
- Identity & Access SSO (OIDC/SAML); design RBAC groups; enforce leastprivileged access.
- Networking IP allows lists; set up VPC/VNet peering or PrivateLink/Private Endpoint
- Data Onboarding bulk imports; simple transforms and validation; CDC/streaming for higher tiers.
- Application Integration drivers; tune connection pooling, retries, and timeouts.
- Query Optimization - Cypher/query best practices.
- Observability & Operations wire metrics/logs; alerts; backup/restore planning
- Enablement & Handover architecture diagrams, ADRs and a nextstep backlog.
- Continuous Improvement capture lessons learned & evolve the onboarding playbook.
Job Requirements & Qualifications
- Customerfacing delivery: clear communication, scoped planning, risk management, crisp documentation.
- Cloud: depth in at least one major cloud (AWS, Azure, or GCP) and familiarity with the others.
- IaC: Terraform as primary; Ansible or similar configuration tooling.
- Linux & containers: strong CLI; Kubernetes or managed container platforms a plus.
- Networking: VPC/VNet, routing, SG/NSG, peering, PrivateLink/private endpoints, DNS.
- Identity & security: SSO (OIDC/SAML), RBAC design, secrets management (e.g., AWS Secrets Manager, Azure Key Vault).
- Data movement: bulk imports and at least one ETL/CDC tool or framework.
- App integration: experience with Neo4j drivers/SDKs, connection tuning, and performance troubleshooting.
- Neo4j or other graph database experience; Cypher query tuning.
- Observability: Grafana/Prometheus, CloudWatch/Cloud Logging, Datadog, or Splunk.
- CI/CD: GitHub Actions, GitLab CI, or Jenkins; release practices and environment promotion.
- Compliance/security exposure: SOC 2, GDPR, HIPAA; data residency patterns.
