About The Position

As a principal contributor and technical lead in our Apple Data Platform (ADP) SRE organization, you will apply SRE principles as you mentor and partner with our engineers and partner teams, ensuring large-scale analytics infrastructure runs reliably and efficiently. This role focuses on driving reliability standards, architectural consistency, and engineering excellence across peer SRE teams and partner engineering organizations — spanning Hadoop, HBase, Spark, Data Lakes, and Airflow ecosystems — through technical leadership, cross-functional alignment, and the development of platform-wide tooling, observability, and operational practices that raise the reliability bar for all of ADP. This role includes production on-call responsibilities. Apple Service Engineering (ASE) teams build and scale the platforms and infrastructure behind many of Apple’s services — including iCloud, iTunes, Siri, and Maps. We are the foundation on which Apple’s software developers build the products that our customers love. We are looking for a passionate and dedicated Technical Lead to drive SRE standards and engineering excellence across the entire Apple Data Platform organization. The Apple Data Platform (ADP) SRE Technical Lead partners with multiple SRE and engineering teams across the data platform — including teams responsible for Hadoop and HBase infrastructure, Spark, S3-compatible storage, and Airflow-orchestrated pipelines. Rather than owning a single vertical, this role sets the technical direction for how reliability is practiced across ADP: defining SLOs, establishing architectural review processes, developing shared tooling and automation, and ensuring that SRE principles are applied consistently as the platform scales. You will be a force multiplier — making every team around you more effective.

Requirements

  • BS/MS in Computer Science or equivalent
  • 12+ years of experience in Site Reliability Engineering, managing infrastructure and services at scale
  • 5+ years of experience in technical leadership roles, with demonstrated ability to lead horizontally across teams without direct authority
  • Broad expertise across the data platform stack: Hadoop (HDFS, YARN), HBase, Apache Spark, Data Lake architectures, S3-compatible storage solutions, and Apache Airflow
  • History of defining and driving SLO/error budget frameworks and reliability practices across multiple teams or services
  • Demonstrable programming skills to develop shared tooling, lead code reviews, and set engineering standards
  • Strong written and verbal communication skills — able to present technical strategy to both engineers and leadership
  • Advanced knowledge of Linux, networking, and distributed systems fundamentals

Nice To Haves

  • 15+ years of experience in SRE or related work managing infrastructure at scale
  • Experience with Ceph object storage operations
  • Kubernetes cluster operations experience, particularly running stateful data workloads
  • Experience with scale testing, disaster recovery, and capacity planning across distributed data systems
  • Experience driving multi-year platform migrations or large-scale architectural transitions
  • Ability to define the technical roadmap for a data platform organization and drive cross-functional alignment on architectural standards and best practices
  • Background in data security, access control, or compliance-sensitive data environments

Responsibilities

  • Apply SRE principles as you mentor and partner with engineers and partner teams, ensuring large-scale analytics infrastructure runs reliably and efficiently.
  • Drive reliability standards, architectural consistency, and engineering excellence across peer SRE teams and partner engineering organizations.
  • Develop platform-wide tooling, observability, and operational practices that raise the reliability bar for all of ADP.
  • Set the technical direction for how reliability is practiced across ADP.
  • Define SLOs, establish architectural review processes, and develop shared tooling and automation.
  • Ensure SRE principles are applied consistently as the platform scales.
  • Be a force multiplier — making every team around you more effective.
  • Production on-call responsibilities.
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