Staff AI-Driven Observability Engineer, Apple Data Platform - ASE

The Apple Data Platform team is seeking a Staff AI-Driven Observability Engineer to join their Platform Efficiency team. This role is crucial in enabling data analytics, machine learning, and feature engineering for products like Siri, Search, Music, and iCloud. The position focuses on designing AI-powered solutions, including advanced data insights and unified search, while enhancing service team performance through AI-driven observability and metrics.

As a Staff Engineer, you'll be responsible for refining anomaly detection, streamlining incident response, and improving operational efficiency by leveraging observability data from platforms like Splunk, CloudWatch, and Datadog. You'll work with cutting-edge technologies and collaborate with cross-functional teams to optimize platform cost and performance using data-driven strategies.

The role offers an opportunity to work on large-scale, enterprise-grade distributed data platform infrastructure, implementing AI-driven monitoring and alerting systems. You'll be part of a team that's driving platform efficiency initiatives, analyzing performance, and eliminating bottlenecks across hybrid and multi-cloud environments.

This position requires a seasoned professional with 10+ years of software development experience and deep expertise in Large Language Models (LLMs). You'll work closely with Apple leadership, providing data-driven insights to support strategic decision-making. The role offers competitive compensation, comprehensive benefits, and the chance to impact millions of users through the Apple Data Platform.

If you're passionate about AI, data infrastructure, and building scalable solutions while working with some of the most innovative products in technology, this role presents an excellent opportunity to advance your career at Apple.