Description:

Apple is looking for an experienced Python Developer to join its Supply Chain Innovation team. This is an exciting opportunity to work on end-to-end, world-class software solutions that power Apple’s Supply Chain — from Supply and Demand Planning to Product Distribution and beyond.

In this role, you’ll collaborate with global teams across the US, Singapore, India, and Europe to optimize business processes and deliver high-quality solutions under tight deadlines. You’ll design, develop, and scale distributed systems, lead proof-of-concepts, and take ownership of delivering reliable, secure, and high-performance applications.

This is more than a development role — you’ll be mentoring team members, driving innovation, and staying ahead of industry trends while making a direct impact on Apple’s business.

Key Responsibilities:

• Design, develop, and optimize highly scalable, distributed systems using cloud-native and microservices architectures.
• Lead pilot projects to showcase innovative solutions.
• Improve system reliability, performance, and security.
• Participate in code reviews and resolve technical issues.
• Collaborate with developers, QA, product owners, and stakeholders.
• Mentor junior engineers and foster a culture of excellence.
• Occasionally handle production support activities.

Key Technical Skills:

Python, Django, Flask, pandas, NumPy, DataFrames, Data Structures, Algorithms, Object-Oriented Programming, API Development, RDBMS, NoSQL, JavaScript (Angular/React), AWS, GCP, Apache Kafka, AI/ML, LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG)

Requirements:

• Education: Bachelor’s or Master’s degree in Computer Science or equivalent.
• Experience: Minimum 5 years in enterprise-level application development with Python.
• Expertise in data analytics platforms (pandas, NumPy, DataFrames).
• Strong understanding of algorithms, data structures, and OOP principles.
• Experience building Django/Flask applications and REST APIs.
• Familiarity with Agile methodologies.
• Knowledge of multiple database types (RDBMS, Key-Value, Document-based).
• Experience in cloud environments (AWS/GCP).
• Exposure to real-time data processing (Apache Kafka or similar).
• Experience with AI/ML, LLMs, and supply chain applications is a plus.