Technical Onboarding Engineer

About this role

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

Neo4j Technical Onboarding Engineers play a critical role in supporting our enterprise customers early in their journey to ensure the absolute success of their architectural foundations. As a Technical Onboarding Engineer, you will bridge the gap between a signed contract and a production-ready ecosystem. You will serve as the trusted technical advisor, leading new customers through critical infrastructure milestones—including cloud provisioning, security hardening, networking, data modelling, and application integration.

Sitting at the heart of our customer-first culture, you will shape tailored onboarding blueprints, orchestrate complex delivery workstreams, and guarantee a predictable, accelerated time‑to‑value. For our 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 deliver secure, resilient graph clusters across hybrid and multi-cloud architectures.

Minimum qualifications:

• 5+ years of experience in a customer-facing technical role (e.g., Solution Architect, Solution Engineer, Onboarding Engineering, Customer Success Engineering, or Technical Consulting).

• Hands-on experience with production workloads in at least one major cloud provider ecosystem (AWS, Azure, or Google Cloud).

• Deep technical proficiency in core networking infrastructure, including VPC/VNet architectures, routing protocols, peering, and PrivateLink/Private Endpoints.

• Hands-on experience and technical proficiency in SQL or NoSQL databases (SQL Server, MySQL, PostgreSQL, MongoDB, etc.).

• Proven track record implementing Enterprise Identity and Access Management (IAM), including SSO (OIDC/SAML) and Role-Based Access Control (RBAC) design.

• Bachelor's degree or equivalent practical experience.

Preferred qualifications:

• Experience with ETL/CDC platforms and data ingestion.

• Experience with Linux administration, containerisation, and orchestration platforms (Docker, Kubernetes, or managed container environments).

• Hands-on experience with graph databases (ideally Neo4j).

• Familiarity with modern observability stacks (Grafana/Prometheus, Datadog, CloudWatch, Splunk).

• Exposure to cloud compliance frameworks (SOC 2, GDPR, HIPAA) and data residency deployment patterns.

Responsibilities

• Drive customer value by translating complex business requirements into tailored technical solutions that solve core business challenges and accelerate cloud adoption.

• Lead complex technical discovery sessions with enterprise customers to align on success criteria, KPIs, milestones, and mitigation strategies for project risks.

• Guide the instantiation of Neo4j AuraDB environments or self-managed clusters across AWS, Azure, and GCP, establishing secure network architectures utilizing private endpoints and IP allow lists.

• Implement baseline system hardening, TLS/SSL termination, encryption-at-rest protocols, and enforce least-privileged access through enterprise SSO and RBAC…