Site Reliability Engineer, Apple Data Platform

Apple, Inc.; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Apple is hiring an Site Reliability Engineer for the Apple Data Platform in Austin, TX. You will operate and support a multi-cloud data/ML platform, drive reliability across pipelines, and partner with internal teams to keep services running at scale.

You will work on incident response, on-call coverage, and build automation to reduce toil while enabling AI/ML workloads like Ray and LangGraph deployments. Join a team shaping the future of AI infrastructure.

Qualifications

• Bachelor's degree or equivalent experience in CS or related field.
• 3+ years in a Site Reliability/DevOps or infrastructure role.
• Proficient in Python; Golang a plus.
• Experience with Kubernetes and one major cloud provider (AWS or GCP).
• Exposure to ML pipelines or model-serving infra in production.
• Strong comms and ability to stay composed during incidents.
• Solid grounding in SRE principles and on-call experience.

Responsibilities

• Operate, monitor, and triage production and non-production environments across the ADP portfolio.
• Participate in rotating on-call schedules, including occasional weekend coverage.
• Own reliability of ML/AI platform services, including Ray and LangGraph concepts.
• Provide Slack-based support and triage service issues for internal customers.
• Collaborate with dev teams across time zones to design monitoring and dashboards.
• Build automation and self-healing tooling to scale operational capacity.
• Identify and resolve production issues to protect platform reliability.

Skills

SRE experience

Python

Kubernetes

Cloud (AWS or GCP)

Incident response

Observability tooling

Education

Bachelor's degree in Computer Science or related field

Tools

Prometheus

Grafana

Splunk

PagerDuty

CI/CD tooling

Ray / ML infra familiarity

Job description

Site Reliability Engineer, Apple Data Platform

Austin, Texas, United States Software and Services

The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books - at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success - running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Ray, Notebooks and LLM-based agent platforms reliable at scale.

Description

This is a rare opportunity to build deep expertise across one of the most technically diverse platforms at Apple - while specialising in an area that's shaping the future of how Apple builds and operates AI. As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from big data pipelines to multi-cloud infrastructure, and grow into the team's go-to expert for ML/AI platform services - including Ray training and serving, LangGraph agent deployments, RAG architectures, embeddings platforms, and vector store platforms. You won't be building the models yourself, but you'll be the infrastructure backbone behind the teams who do - keeping their services, pipelines, and platforms running flawlessly in production so they can focus on innovation. We're looking for a self-motivated engineer who thrives on ownership - someone who wants a set of services to call their own, the autonomy to drive their reliability roadmap, and the collaborative instinct to keep that work aligned with the team's broader direction. If you love solving hard operational problems, enjoy being the trusted expert customers turn to, and want a front-row seat to Apple's ML/AI infrastructure evolution, this role offers real room to grow your scope and impact over time.

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 ML/AI platform services as SME - driving reliability, support, and customer guidance for Ray, LangGraph agents, RAG pipelines, embeddings, and vector store platforms.
• * Provide Slack-based support to internal customers; screen, triage, and resolve service related issues.
• * 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, upscale, and resolve production issues to protect platform reliability and customer experience.
• * Collaborate with SRE and dev partner teams, engineering, and program management to align execution with team and org goals.

Minimum 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 Python; working knowledge of Golang a plus.
• * 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, with prior on-call or production-support experience.

Preferred Qualifications

• * 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/dataset management systems.
• * Experience with S3 and cloud storage/networking fundamentals.
• * Familiarity with observability tooling: Prometheus, Grafana, Splunk, PagerDuty.
• * Working knowledge of CI/CD pipelines and deployment workflows.
• * Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
• * 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.