Site Reliability Engineer, Apple Data Platform

Apple • Austin, TX

1d

About The Position

The Apple Data Platform SRE team within Apple Services Engineering operates and supports a large, multi-cloud platform used by thousands of internal engineers developing data and AI products. The team works across infrastructure, automation, incident response, hands-on customer support, and partnership with developers to improve the reliability of services such as Spark, Flink, Airflow, Ray, Notebooks, and LLM-based agent platforms.

The SRE will operate and support the platform portfolio, spanning big data pipelines and multi-cloud infrastructure, and develop expertise in ML/AI platform services. This includes Ray training and serving, LangGraph agent deployments, RAG architectures, embeddings platforms, and vector store platforms. The role focuses on the production infrastructure and reliability of these services rather than building models. The engineer will own services, drive their reliability roadmap, solve operational problems, support internal customers, and coordinate work with the broader team.

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 in Python.
• Experience with Kubernetes and at least one major cloud provider: AWS or GCP.
• Exposure to operating or supporting ML pipelines, model-serving infrastructure, or LLM-based systems in production.
• Strong communication skills and composure under pressure during incidents.
• Solid grounding in SRE principles.
• Prior on-call or production-support experience.

Nice To Haves

• Working knowledge of Golang.
• Hands-on experience operating or supporting Ray (training/serving), LangGraph or similar agent orchestration frameworks, RAG architectures, embeddings platforms, or vector store platforms.
• Familiarity with MCP-based tooling and ML lifecycle or dataset management systems.
• Experience with S3 and cloud storage and networking fundamentals.
• Familiarity with observability tools such as Prometheus, Grafana, Splunk, and PagerDuty.
• Working knowledge of CI/CD pipelines and deployment workflows.
• Deep understanding of one or more big data technologies: Spark, Flink, Airflow, Trino, or Notebooks.
• 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.

Responsibilities

• Operate and support the Apple Data Platform portfolio, including big data pipelines and multi-cloud infrastructure.
• Develop expertise in ML/AI platform services, including Ray training and serving, LangGraph agent deployments, RAG architectures, embeddings platforms, and vector store platforms.
• Keep services, pipelines, and platforms reliable in production so model-building teams can focus on innovation.
• Own a set of services and drive their reliability roadmap.
• Participate in incident response and provide hands-on support to internal teams.
• Partner with developers and internal customers to support reliable operation of platform services.
• Align reliability work with the broader team's direction.

What This Job Offers

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