Senior Neo4j Developer

Role & responsibilities

Graph Architecture & Design

• Design and implement sophisticated graph schemas for recruitment data with 45+ unique constraints across contacts, jobs, skills, organizations, and assessments
• Architect domain-driven node relationships covering Core Entities (Contact, Job), Professional Entities (Role, Organization, Skill), and Process Entities (Interview, Assessment, Application)
• Implement constraint-heavy production deployments with safe migration patterns using IF NOT EXISTS strategies

Performance Optimization & Indexing

• Build and maintain high-performance indexes including vector indexes for 384-dimension AI embeddings, full-text search indexes, and composite indexes for complex query patterns
• Optimize Cypher queries for candidate-job matching, skill similarity search, and recruitment analytics at enterprise scale
• Implement vector similarity search capabilities for AI-powered recommendation systems

AI & Machine Learning Integration

• Integrate Neo4j with AI processing pipelines including confidence scoring systems and embedding generation
• Implement vector index management for similarity-based candidate matching and job recommendations
• Work with ML confidence scores and AI processing metadata to enhance graph-based intelligence

Salesforce Integration & Data Management

• Design and implement Salesforce integration patterns with external ID mapping and source record management
• Handle multi-system ID management combining internal Neo4j IDs with 18-character Salesforce external IDs
• Process custom Salesforce objects (ATS systems) and maintain data synchronization

Bulk Processing & ETL

• Develop high-volume ETL processes capable of handling 25,000+ resume imports with constraint validation
• Implement transaction management strategies with optimal batch sizes (100 rows per transaction)
• Build error handling and recovery systems for constraint violations and data quality issues

Production Support & Monitoring

• Monitor constraint health across 45+ unique constraints and resolve production issues
• Implement performance monitoring for query optimization and index effectiveness
• Maintain production systems with proactive health checks and alerting

Collaboration & Documentation

• Work closely with Python developers, AI engineers, and product teams to deliver integrated solutions
• Document graph schema designs, query patterns, and performance optimization strategies
• Provide technical leadership and mentoring on graph database best practices

Preferred candidate profile

Required Experience

• 5+ years

  of hands-on Neo4j development experience with production graph database systems

• 3+ years

  working with constraint-heavy schemas and performance optimization
• Strong expertise in

  Cypher query language

  including complex traversals, aggregations, and optimization
• Experience with

  Neo4j 5.x features

  including vector indexes, full-text search, and composite indexes
• Proven experience with

  bulk data processing

  and ETL operations in graph databases

Technical Skills

• Deep understanding of

  graph database design principles

  and relationship modeling
• Proficiency with

  Neo4j Administration

  including constraint management, index optimization, and performance monitoring
• Experience with

  vector databases

  and similarity search implementations
• Knowledge of

  transaction management

  and batch processing strategies in Neo4j
• Familiarity with

  Neo4j drivers

  (Python preferred) and API integration patterns

Integration Experience

• Experience with

  Salesforce integration

  and external ID management patterns
• Knowledge of

  AWS services

  (Lambda, SQS, ElastiCache) for graph database integration
• Understanding of

  API design

  for graph-based applications
• Experience with

  serverless architectures

  and cloud-native graph solutions

Preferred Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• Experience with

  recruitment or HR technology

  domains
• Knowledge of

  AI/ML integration

  with graph databases

• Neo4j certification

  (Graph Data Science, Administration, or Developer)
• Experience with

  monitoring tools

  for production graph databases
• Understanding of

  data privacy

  and compliance requirements for HR systems

Technical Environment

You'll be working with our cutting-edge technology stack:

Core Technologies

• Neo4j 5.x

  with vector indexes and advanced constraint management

• Cypher

  for complex graph traversals and optimization

• Vector embeddings

  (384-dimension) for AI-powered similarity matching

• Python

  for Neo4j driver integration and API development

Integration Stack

• AWS Lambda

  for serverless graph operations

• SQS FIFO

  for ordered processing of bulk operations

• ElastiCache Redis

  for caching and validation layers

• Salesforce APIs

  for external system integration

AI & Data Processing

• OpenAI embeddings

  for vector generation

• docling

  for document processing and parsing

• Confidence scoring systems

  for AI processing quality

• Bulk ETL

  processing capabilities for 25,000+ records

Development & Operations

• Production monitoring

  with constraint health checking

• Performance optimization

  tools and query analysis

• CI/CD pipelines

  for safe schema deployments

• Documentation

  and knowledge sharing platforms