Lead Graph Engineer

Job description

At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished.
As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal stakeholders to define and implement solutions that optimize Apple’s internal business processes.
We are seeking an individual who thrives on tackling challenges and finding creative solutions. The ideal candidate should excel in collaborative environments and produce high-quality software under tight deadlines. Must be a self-starter, highly motivated, and able to work independently, while collaborating effectively with multi-functional teams across the globe (US, Singapore, India, and Europe). This role will have a direct impact on Apple’s business, requiring interaction with various internal teams to deliver cutting-edge products in a dynamic, ever-evolving environment.
<h3>Minimum Qualifications</h3>10+ years of professional experience in data engineering, database design, or software development
5+ years of experience in data engineering, backend development, or database design.
Minimum 3 years hands-on experience with Neo4j (designing graph models, writing Cypher queries, performance tuning).
Proficiency in at least one programming language: Java, Python, or JavaScript.
Experience with APIs, Microservices, and data integration frameworks.
Understanding of graph theory concepts — nodes, relationships, traversals, and centrality algorithms.
Familiarity with Neo4j Bloom, GraphQL for Neo4j, or GDS (Graph Data Science) library.
Experience with cloud deployments (AWS, Azure, or GCP).
Knowledge of data modeling, ETL pipelines, and NoSQL/SQL databases.
Bachelor's / Master’s degree in Computer Science or equivalent
<h3>Preferred Qualifications</h3>Exposure to supply chain, product lifecycle, or recommendation systems.
Familiarity with Agile project management methodologies.
Experience with graph analytics, ML integrations, or knowledge graphs.
Familiarity with Docker/Kubernetes, CI/CD, and infrastructure automation.
Knowledge of data visualization tools (Power BI, Tableau, or custom dashboards).
AI/ML-related experience is a plus.
A strong understanding of LLMs, prompt engineering and RAG.
Experience in developing applications for the Supply Chain business domain is a plus.
Experience in leading and mentoring engineers.