Software Engineer (Python) Supply Chain Integration

At Apple new ideas quickly transform into groundbreaking products services and customer experiences. Bring passion and dedication to your work and theres no telling what can be part of the Supply Chain Innovation team you will play a pivotal role in building end-to-end best-in-class software solutions for Apples 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 Apples 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 u0026 Europe). This role impacts Apples business requiring interaction with internal teams to deliver innovative products in a dynamic environment.

Design develop and optimize highly scalable distributed systems using cloud-native technologies and microservices architecture to build scalable robust and resilient proof-of-concept projects and pilot implementations to showcase new for excellence by continuously seeking ways to enhance system reliability performance and to design and code reviews and assist in debugging and resolving system components and take full responsibility for the timely delivery and quality of the with product owners developers QA support teams contractors and end users with minimal and guide a team of engineers fostering a culture of innovation and will need to handle application production (warranty) support.

Bachelors / Masters degree in Computer Science or related 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 in data manipulation analysis and processing with libraries like Pandas NumPy and Polars enabling efficient handling of large datasets and complex transformations. nExperience with distributed computing frameworks like PySpark Celery or 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.

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 experience with containerization and orchestration systems specifically Docker and Kubernetes for scalable deployment of applications and data 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 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 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.