AI & Data Platform SRE: Scale, Reliability, Cloud

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple Inc. is seeking a Software Site Reliability Engineer for AI & Data Platforms (AiDP) to design, build, and operate a scalable data platform supporting analytics, reporting, and AI/ML apps.

You will optimize performance, automate operations, and resolve complex production issues at scale. The role requires 3+ years in SRE or software dev, proficiency in Python, Golang, or Java, and hands-on experience with distributed systems, cloud platforms, and Kubernetes-based environments.

Qualifications

• 3+ years in software site reliability engineering or software development.
• Proficiency in Python, Golang, or Java.
• Experience with distributed data pipelines and cloud platforms.
• Experience with Open Source projects and multi-tenant Kubernetes environments is a plus.

Responsibilities

• Design, develop, and automate tools and frameworks to improve reliability and scalability of large-scale data platforms.
• Monitor and maintain on-prem and cloud workloads with advanced monitoring and alerting.
• Troubleshoot production incidents, perform root cause analysis, and resolve issues across analytics and AI/ML apps.
• Collaborate with development and operations teams to integrate reliability best practices throughout the software lifecycle.
• Proactively optimize architecture, deployment, and operations for distributed systems.

Skills

Python

Golang

Java

Distributed systems

Tools

Kubernetes

Airflow

Spark

Job description

Apple Inc. is seeking a Software Site Reliability Engineer for AI & Data Platforms (AiDP) to design, build, and operate a scalable data platform supporting analytics, reporting, and AI/ML apps.

You will optimize performance, automate operations, and resolve complex production issues at scale. The role requires 3+ years in SRE or software dev, proficiency in Python, Golang, or Java, and hands-on experience with distributed systems, cloud platforms, and Kubernetes-based environments.