Software Engineer (Python) - Supply Chain Integration

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.

Sales and Operations Engineering is part of IS&T and drives the technology behind Apple's global operations, sales, and supply chain. The team connects the systems that move products from factory to customer — bridging sales platforms with the operational infrastructure that keeps Apple running at scale and ensuring Apple's technology and business priorities move in lockstep.
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 collaborators to define and implement solutions that optimize Apple’s internal business processes.

The ideal candidate excels in collaborative environments, produces high-quality software under tight deadlines, and works independently while collaborating effectively with multi-functional teams globally (US, Singapore, India, & Europe). This role impacts Apple’s business, requiring interaction with internal teams to deliver innovative products in a dynamic environment.
<h3>Minimum Qualifications</h3>Bachelor's / Master’s degree in Computer Science or related field.
Minimum 4 years of professional experience in software development using Python, with a consistent track record in designing, developing, and maintaining RESTful APIs using frameworks like FastAPI, Django REST Framework, or Flask.
Proficient in data manipulation, analysis, and processing with libraries like Pandas, NumPy, and Polars, enabling efficient handling of large datasets and complex transformations.
Experience with distributed computing frameworks like PySpark, Celery, or Dask.
Experience with design patterns, enterprise architecture, software engineering principles, and modern Python development practices, including writing and performing comprehensive unit/integration tests for robust and maintainable web applications.
<h3>Preferred Qualifications</h3>Proficiency in cloud development and deployment using platforms such as AWS, Google Cloud Platform (GCP), etc., including services related to compute, storage, data processing, and managed database solutions.
Development experience with containerization and orchestration systems, specifically Docker and Kubernetes, for scalable deployment of applications and data pipelines.
Strong background in database modeling, design, and management for both SQL and NoSQL databases, and proficiency with Object-Relational Mappers (ORMs), along with exposure to caching technologies such as Redis, and workflow orchestration tools such as Apache Airflow.
Experience in AI/ML, particularly in working with Large Language Models (LLMs), Agentic AI systems, prompt engineering, and Retrieval-Augmented Generation (RAG) techniques, to enhance data-driven decision making, automation, or user interaction.
Understanding of supply chain management processes, including demand planning, inventory management, logistics, and order fulfillment with experience in developing applications for the Supply Chain business domain.