CKG Lead Engineer

Avathon•Pleasanton, CA

About The Position

We are seeking an experienced CKG Lead Engineer to help design, develop, and scale our Neon platform. In this role, you will work on the full-stack development of our knowledge graph platform, from ontology design and schema modeling to query optimization and Python integration. You will collaborate with data scientists, product managers, and customers to build solutions that leverage Neon’s unique computational capabilities. This is a mid-senior level position (5-8 years experience ) that combines technical leadership with hands-on development.

Requirements

5-8 years of software engineering experience, with at least 2 years working with graph technologies or knowledge graphs
Strong proficiency in Python programming
Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, TigerGraph , or similar)
Understanding of ontology design, schema modeling, and graph data structures
Experience with SQL and query optimization
Familiarity with REST APIs and web services architecture
Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)
Strong problem-solving skills and ability to translate complex business requirements into technical solutions
Excellent communication skills and ability to work with cross-functional teams
BS or MS in Computer Science, Engineering, or related field

Nice To Haves

Experience with RDF, SPARQL, or semantic web technologies
Knowledge of NLP/NER pipelines for entity extraction and relationship mining
Experience with ML model integration and MLOps
Familiarity with supply chain, manufacturing, or BOM data structures
Experience with time series data and IoT integration
Knowledge of graph algorithms (shortest path, centrality, community detection)
Experience with data visualization for graph structures
Contributions to open-source graph or knowledge management projects

Responsibilities

Design and implement knowledge graph schemas, ontologies, and data models for complex domains (supply chain, manufacturing BOM, logistics )
Develop and optimize IQL (Intermediate Query Language) queries for multi-hop graph traversals, joins, and aggregations
Build data ingestion pipelines to populate and maintain knowledge graphs from diverse data sources
Implement computational functions and analytics on top of the knowledge graph
Integrate Neon with Python/NumPy for advanced analytics and ML model integration
Design and build APIs to expose knowledge graph capabilities to downstream applications
Optimize query performance for large-scale datasets (1M+ records)
Collaborate with product and data science teams to translate business requirements into graph solutions
Mentor team members on IQL, graph modeling, and Neon best practices
Contribute to platform roadmap and architectural decisions