Lead Technical Onboarding Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Guide enterprise clients through essential deployment phases.

• Serve as a player-coach and technical resource for a four-member onboarding team.

• Facilitate intricate customer onboarding processes while mentoring three fellow engineers.

• Provide guidance to clients on cloud provisioning, security enhancements, networking, data modeling, and application integration.

• Set up Neo4j AuraDB environments and self-managed clusters across AWS, Azure, and GCP.

• Create secure network architectures utilizing PrivateLink, Private Endpoints, and peering techniques.

• Execute system hardening, TLS/SSL termination, data encryption at rest, SSO, and RBAC.

• Design data ingestion pipelines, including bulk imports, stream processing, and CDC.

• Offer advice on optimizing Neo4j drivers, connection pooling, retry logic, observability, Cypher performance, and backup/restore strategies.

• Generate architecture diagrams, ADRs, and runbooks for operational transitions.

• Act as a senior technical escalation resource and support colleagues in overcoming challenges.

• Collaborate with and mentor team members through design reviews and customer interactions.

• Enhance onboarding methodologies, tools, and automation based on field insights.

⛳️ Requirements

• Bachelor's degree in a technical field or equivalent hands-on experience.

• Over 5 years of experience in a technical, client-facing position.

• Informal or formal experience acting as a technical leader, mentor, or escalation resource.

• Experience working in a hands-on player-coach role.

• Proven experience in architecting and deploying production workloads within AWS, Azure, or GCP.

• Extensive knowledge of enterprise networking, including VPC/VNet architectures, routing protocols, peering, and PrivateLink/Private Endpoints.

• Familiarity with configuring Enterprise IAM, including SSO (OIDC/SAML) and RBAC.

• Preferred: expertise in Terraform and configuration management tools like Ansible.

• Preferred: experience in Linux administration, containerization, and orchestration using Docker, Kubernetes, or managed container services.

• Preferred: experience with graph databases, particularly Neo4j, and Cypher query performance optimization.

• Preferred: knowledge of observability stacks and enterprise data integration/ETL/CDC tools.

• Preferred: exposure to SOC 2, GDPR, HIPAA, and multi-region/data residency deployment strategies.

🏝️ Benefits

• An inclusive, diverse, and equitable workplace.

• Opportunities for career development and the potential for a career-defining experience.

• A culture focused on collaboration.

• The chance to influence the future of data and analytics.

• Work with a globally recognized graph intelligence platform.