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Senior Software Engineer, Data Science & Analytics Platform Engineering
Senior Software Engineer, Data Science & Analytics Platform EngineeringApple • Cupertino, CA, United States
Senior Software Engineer, Data Science & Analytics Platform Engineering

Senior Software Engineer, Data Science & Analytics Platform Engineering

Apple • Cupertino, CA, United States
6 days ago
Job type
  • Full-time
Job description

Role Number : 200614969-0836

Summary

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science & Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most – our customers' privacy and trust.

Description

As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem.

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience

7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems

2+ years of experience in technical leadership roles focused on platform engineering or infrastructure

Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform)

Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.)

Proven development skills building backend API services using Python (preferred) and / or JavaScript

Practical experience with asynchronous programming, type safety, threading models, state machines and data structures

Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake

Experience with managed cloud platforms such as AWS, GCP, Azure

Excellent communication skills to collaborate with non-technical audience

Preferred Qualifications

Familiarity with AI / ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.)

Track record designing client-agnostic APIs using REST and / or GraphQL

Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant () .

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