Senior Python Engineer - Supply Chain Platform

Apple Inc.; Sunnyvale (CA); On-site; USD 150,400 - 225,300; Full time

Benefits offered by this job

Stock programs

RSU awards

Discounted stock purchase

Job summary

Apple Inc. in Sunnyvale, CA, seeks a Software Engineer (Python) to design and build scalable supply chain software. You will develop distributed services, RESTful APIs, and data pipelines that connect planning with execution across global teams.

Collaborate with product owners, engineers, and operations to deliver reliable, high-performance solutions. Proficiency in Python and data tooling is essential.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field.
• Minimum 4 years of professional Python software development experience with RESTful APIs.
• Proficient in data manipulation with Pandas, NumPy, and similar libraries.
• Experience with distributed computing and modern Python development practices.

Responsibilities

• Design, develop, and optimize scalable, distributed systems using cloud-native technologies and microservices.
• Lead proof-of-concept projects and pilot implementations.
• Improve reliability, performance, and security of systems.
• Contribute to design reviews, debugging, and issue resolution.
• Develop system components and ensure timely delivery and quality.
• Collaborate with product owners, developers, QA, support, and end users.
• Mentor engineers and foster innovation within the team.
• Occasionally handle application production (warranty) support.

Skills

Python

REST APIs

Pandas

NumPy

PySpark

Docker

Kubernetes

Cloud

SQL/NoSQL

Airflow

Education

Bachelor's / Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Airflow

Job description

Apple Inc. in Sunnyvale, CA, seeks a Software Engineer (Python) to design and build scalable supply chain software. You will develop distributed services, RESTful APIs, and data pipelines that connect planning with execution across global teams.

Collaborate with product owners, engineers, and operations to deliver reliable, high-performance solutions. Proficiency in Python and data tooling is essential.