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About the Role

Join Apple’s Information Systems and Technology (IS&T) organization as a Data Platform SRE. You will be responsible for developing and operating our big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identifying and resolving production errors and issues to ensure the best data platform experience.

Responsibilities

Developing and operating big data platforms
Optimizing performance and cost
Automating operations
Identifying and resolving production errors and issues

Requirements

3+ years of professional software engineering experience with large-scale big data platforms
Strong programming skills in Java, Scala, Python, or Go
Proven expertise in operating large-scale distributed data processing systems with a strong focus on Apache Spark
Hands-on experience with table formats and data lake technologies such as Apache Iceberg
Strong background in incident management, including troubleshooting, root cause analysis, and performance optimization in complex production environments
Proficient with cloud technologies such as AWS and GCP
Experience with Unix/Linux systems and command-line tools for debugging and operational support

Skills

Apache Spark
Apache Iceberg
AWS
GCP
Unix/Linux
Command-line tools
Kubernetes
Airflow
DBT
Data modeling
Data warehousing
AI/ML stack
GPUs
MLFlow
Large Language Models (LLMs)

Location

Remote

Work Type

Full-time

Experience Level

3+ years

About the Company

Apple’s Information Systems and Technology (IS&T) is the engine behind everything Apple does for customers and for the people who build for them.
IS&T supports 2.5 billion active Apple devices, processes billions of secure transactions, and keeps the technology that defines modern life running flawlessly.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation, bringing together data, application development, and machine learning to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.