Site Reliability Engineer, Apple Data Platform

Apple • Austin, TX

1d

About The Position

The Apple Services Engineering Apple Data Platform SRE team operates and supports a large, multi-cloud platform used by thousands of internal engineers building data and AI products. The role works across infrastructure, automation, incident response, and customer support, helping internal teams use platform services reliably at scale.

The engineer will operate the team's portfolio, including ML/AI platform services and multi-cloud infrastructure, while developing expertise in big data engines and catalog and governance services. These include Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services such as Glue Catalog, and data governance. The role is also a first point of contact for internal customers, diagnosing issues and resolving support requests. The successful candidate will own services, drive their reliability roadmap, and align that work with the team's broader direction.

Requirements

• Bachelor's degree in Computer Science, an engineering-related field, or equivalent related experience.
• At least 3 years in a Site Reliability Engineering, DevOps, or infrastructure-focused role.
• Proficiency handling production databases and distributed-SQL engines, including query tuning and optimization.
• Proficiency in scripting languages such as Shell and Python.
• Deep understanding of one or more big data technologies: Spark, Flink, Airflow, Trino, or Notebooks.
• Strong experience with Kubernetes and AWS services, including IAM roles, policies, permission boundaries, KMS, EKS, RDS, S3, and cloud storage and networking fundamentals.
• Strong experience implementing observability systems and practices, including metrics, logging, tracing, alerting, SLOs, error budgets, and fault analysis at scale, using tools such as Prometheus, Grafana, Splunk, and PagerDuty.
• Excellent written and verbal communication skills, including the ability to explain technical issues clearly to non-expert customers.
• Solid grounding in SRE principles and prior on-call, production-support, or customer-facing support experience.

Nice To Haves

• Familiarity with MCP-based tooling and ML lifecycle or dataset management systems.
• Prior experience in a customer-facing or technical support role, with a demonstrated passion for customer success.
• Working knowledge of CI/CD pipelines and deployment workflows.
• 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 oneself, the team, and the organization.
• Comfort using AI-assisted development tools such as Claude Code for prototyping, code generation, and documentation, and critically reviewing and validating AI-generated output before release.

Responsibilities

• Operate and support the Apple Data Platform service portfolio, including ML/AI platform services and multi-cloud infrastructure.
• Develop expertise in and support big data platform services, including Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services, and data governance.
• Respond to incidents and provide hands-on support to internal teams.
• Serve as a first point of contact for internal customers, diagnosing issues and resolving support requests.
• Own services and drive their reliability roadmap in alignment with the team's broader direction.
• Partner with developers to improve the reliability of platform services at scale.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level