Lead Technical Onboarding Engineer

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.

About The Job

You will play a critical, hands-on role in guiding enterprise customers through the foundational stages of their deployment journey. As a player-coach and technical anchor for a focused four-person onboarding team, you will split your time between directly delivering complex customer onboardings and serving as the day-to-day technical escalation point and mentor for three fellow engineers.

Sitting at the intersection of technical architecture and customer delivery, you will bridge the gap between a signed contract and a production-ready ecosystem. You will serve as a trusted technical advisor, steering customers through critical infrastructure milestones—including cloud provisioning, security hardening, networking, data modelling, and application integration.

For fully managed AuraDB cloud customers, you will leverage automation to optimise data modelling, enterprise connectivity, and application health. For self-managed environments, you will apply rigorous Infrastructure-as-Code (IaC) and platform engineering practices to deploy secure, resilient graph clusters across hybrid and multi-cloud architectures.

Responsibilities

Hands-on Technical Onboarding (~70–80%)

• Lead technical discovery sessions with enterprise customers to define success criteria, milestones, architecture patterns, and risk mitigation strategies.
• Guide the provisioning of Neo4j AuraDB environments and self-managed clusters across AWS, Azure, and GCP, establishing secure network architectures using PrivateLink, Private Endpoints, and peering.
• Implement baseline system hardening, TLS/SSL termination, encryption-at-rest protocols, and enforce least-privileged access through enterprise SSO (OIDC/SAML) and RBAC configurations.
• Architect robust data ingestion pipelines (bulk imports, stream processing, Change Data Capture) and advise customer development teams on Neo4j driver optimisation, connection pooling, and retry logic.
• Assist customers in configuring enterprise observability tools (logs and metrics) and deliver best-practice guidance on Cypher query performance and backup/restore planning.
• Produce high-quality technical deliverables—including architecture diagrams, Architectural Decision Records (ADRs), and runbooks—to ensure smooth operational handoffs.
  
  

• Serve as the senior technical point of escalation for the onboarding team, unblocking colleagues on complex customer architectures and troubleshooting edge-case issues.
• Pair with and mentor team members through design reviews, architecture discussions, and customer engagements to continuously elevate collective technical execution.
• Help balance day-to-day account coverage across the team to maintain consistent onboarding velocity and delivery quality.
• Synthesise field insights, lessons learned, and reusable blueprints to iterate and optimise our core onboarding methodologies, tooling, and onboarding automation.
  
  

• Bachelor's degree in a technical discipline or equivalent practical experience.
• 5+ years of experience in a technical, customer-facing role (e.g., Onboarding Engineering, Solutions Architecture, Platform Engineering, or Technical Consulting), with informal or formal experience acting as a technical lead, mentor, or escalation point.
• Proven track record of operating in a hands-on "player-coach" capacity—comfortable rolling up your sleeves on implementation while guiding peers.
• Hands-on experience architecting and deploying production workloads in at least one major cloud ecosystem (AWS, Azure, or GCP).
• Deep technical proficiency in core enterprise networking (VPC/VNet architectures, routing protocols, peering, and PrivateLink/Private Endpoints).
• Demonstrated experience configuring Enterprise Identity and Access Management (IAM), including SSO (OIDC/SAML) and Role-Based Access Control (RBAC).
  
  

• Strong proficiency in Infrastructure-as-Code (IaC) using Terraform, alongside configuration management tools (e.g., Ansible).
• Experience with Linux administration, containerisation, and orchestration platforms (Docker, Kubernetes, or managed container services).
• Hands-on experience with graph databases (ideally Neo4j) and proficiency in query performance tuning (e.g., Cypher optimisation).
• Familiarity with modern observability stacks (Grafana/Prometheus, Datadog, CloudWatch, Splunk) and enterprise data integration/ETL/CDC tools.
• Exposure to cloud compliance standards (SOC 2, GDPR, HIPAA) and multi-region/data residency deployment patterns.