Site Reliability Engineer, Apple Data Platform / Big Data Platform

Job summary

The App*** Services Engineering team (ASE) is one of the most exciting examples of App***'s long-held passion for combining art and technology. These are the people who power the App Store, App*** TV, App*** Music, App*** Podcasts, and App*** Books - at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.

Qualifications

• Experience with REST Catalog services (e.g., Glue Catalog) and data governance frameworks.
• Prior experience in a customer-facing or technical support role, with a demonstrated passion for customer success.
• Familiarity with observability tooling: Prometheus, Grafana, Splunk, PagerDuty.
• Working knowledge of CI/CD pipelines and deployment workflows.
• Experience with S3 and cloud storage/networking fundamentals.
• Familiarity with data pipeline orchestration and workflow scheduling patterns.
• A track record of automating manual operations through scripting or tooling.
• Intellectual curiosity and a drive to keep learning - for yourself, your team, and the org.
• Minimum
• Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
• 1-4 years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
• Proficient in Python; working knowledge of Golang a plus.

Responsibilities

• Operate, monitor, and triage production and non-production environments across the ADP portfolio - data processing, ML/AI, and multi-cloud infrastructure.
• Participate in a rotating on-call schedule across supported services, including occasional weekday and weekend coverage.
• Own the operational health of big data platform services as SME - driving reliability, support, and customer guidance for Spark, Flink, Airflow, Trino, Notebooks, REST Catalog, and governance tooling.
• Serve as a primary point of contact for internal customers via Slack - clearly communicating status, root cause, and next steps during active issues.
• Screen, triage, and resolve customer-reported service issues and support tickets, prioritizing based on customer impact and urgency.
• Partner with dev teams across time zones to onboard new services - understanding architecture, then designing monitoring, alerting, and dashboards (Prometheus, Grafana, Splunk).
• Build automation and self-healing tooling that reduces manual toil and scales the team's operational capacity.
• Identify, escalate, and resolve production issues to protect platform reliability and customer experience.
• Champion customer success by helping internal teams understand platform capabilities and adopt

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