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Site Reliability Engineer, Apple Data Platform

Apple· Software and Services
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Hybrid (Austin, TX)Full-timePosted 3d ago

About the role

SRE role within Apple Data Platform under the Apple Services Engineering team (ASE). Focus on operating and supporting a massive multi-cloud data platform, ensuring reliability for big data engines and governance services used by internal data/AI products. Acts as SME for Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services, and data governance; serves internal customers and drives reliability roadmaps.

Responsibilities

  • Operate with a customer-centric mindset to screen, monitor, and triage production and non-production environments encompassing data processing, ML/AI, and multi-cloud infrastructure.
  • Participate in a rotating on-call schedule across supported services, including occasional weekday and weekend coverage.
  • Serve as a primary point of contact for internal customers seeking technical resolution — clearly communicating status, root cause, and next steps during active issues.
  • Own the operational health of big data platform services as SME — driving reliability, support, and customer guidance.
  • Partner with dev teams across time zones to own the customer experience for services — understanding architecture and establishing the observability benchmarks
  • Build automation and self-healing tooling that reduce 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 tools effectively.
  • Collaborate with SRE and dev partner teams, engineering, and program management to align execution with team and org goals.

Qualifications

  • Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
  • 3+ years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
  • Proficient in handling production databases and distributed-SQL engines with experience in Query Tuning and Optimizations.
  • Proficient in scripting languages (Shell, Python)
  • Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
  • Strong Experience with Kubernetes and AWS services- IAM, EKS, RDS, S3 and cloud storage/networking fundamentals.
  • Strong experience with implementing observability systems and practices: metrics, logging, tracing, alerting, SLOs, error budgets, fault analysis at scale with tools like Prometheus, Grafana, Splunk, PagerDuty.
  • Excellent written and verbal communication skills, with the ability to explain technical issues clearly to non-expert customers.
  • Solid grounding in SRE principles, with prior on-call, production-support, or customer-facing support role experience.

Skills

Required:Customer-facing communicationOn-call and incident responseBig Data technologiesKubernetes and AWSObservability toolingPython, Shell scriptingSQL/Query optimization
Last updated Oct 23, 2026. Interested? Apply on the company site.

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