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Apple

Lead Graph Engineer

19 days ago• Hyderabad, India

About us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

★ 3.7 out of 5 · 120 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Manufacturing
View company profile ›

Why you should apply for a job to Apple:

  • Ranked as one of the Best Technology Companies in 2020
  • 3.7/5 in overall job satisfaction
  • 3.1/5 in supportive management
  • 66% say women are treated fairly and equally to men
  • 65% would recommend this company to other women
  • 66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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.

Description
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.","responsibilities":"Design, develop, and optimize highly scalable, distributed systems, leveraging cloud-native technologies and micro services architecture to build robust and resilient solutions.
Lead proof-of-concept projects and pilot implementations to showcase new ideas.
Strive for excellence by continuously seeking ways to enhance system reliability, performance, and security.
Contribute to design and code reviews, and assist in debugging and resolving issues.
Contribute to solution and architectural design reviews.
Develop system components and take full responsibility for the timely delivery, quality, and performance of the team's work.
Collaborate with product owners, developers, QA, support teams, and end users.
Lead, mentor, and guide a team of engineers, fostering a culture of innovation and excellence.
Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies.
Ability to successfully manage and collaborate with contractors.
Ability to multitask and work independently with minimal supervision.
Team lead experience is a plus. Occasionally, will need to handle application production (warranty) support.

Preferred Qualifications
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.

Minimum Qualifications
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

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Additional Information

  • Posted: 19 days ago
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