Site Reliability Engineer, Apple Data Platform / Multi-Cloud Infrastructure
Austin
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- Salary not listed in the saved posting
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- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- AWS
- Google Cloud (GCP)
- Airflow
- Kubernetes
Source — Tool mentions in context
The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books — at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success — running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Ray, Notebooks, and LLM-based agent platforms reliable at scale across AWS, GCP, and on-premise Kubernetes.
Job description
The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books — at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.
Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success — running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Ray, Notebooks, and LLM-based agent platforms reliable at scale across AWS, GCP, and on-premise Kubernetes.
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- Pay
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- Location & working pattern
Austin
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- Status in our records
- Active
- First seen by us
- Aug 11, 2026
- Recorded sightings
- 230
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Jul 30, 2026
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