SRE – AI Data Platform Infra & ML Pipelines

Apple; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Apple is seeking a self‑motivated SRE for the Data Platform in Austin. You’ll operate and support a large multi‑cloud data platform powering internal AI and data services, focusing on reliability, incident response, and platform observability.

You’ll own the reliability roadmap, collaborate with cross‑functional teams, and help deploy scalable ML/AI pipelines and services (Ray training/serving, embeddings, vector stores) while staying aligned with Apple’s goals.

Qualifications

• Bachelor's Degree in Computer Science or related field.
• 1–4 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.

Responsibilities

• Operate and support Apple's multi-cloud data platform and pipelines in production.
• Lead incident response and drive reliability improvements across services.
• Collaborate with internal teams to enable scalable ML/AI platform services (Ray training/serving, embeddings, vector stores).
• Own reliability roadmap and advocate best practices across the organization.

Skills

Python

Golang

Kubernetes

AWS

GCP

ML pipelines

LLM infra

Production SRE

Education

Bachelor's degree in Computer Science or related field

Tools

Prometheus

Grafana

CI/CD pipelines

Ray

Notebooks

Job description

Apple is seeking a self‑motivated SRE for the Data Platform in Austin. You’ll operate and support a large multi‑cloud data platform powering internal AI and data services, focusing on reliability, incident response, and platform observability.

You’ll own the reliability roadmap, collaborate with cross‑functional teams, and help deploy scalable ML/AI pipelines and services (Ray training/serving, embeddings, vector stores) while staying aligned with Apple’s goals.