Senior SRE: ML/AI Data Platform Infra & Multi-Cloud

Apple, Inc.

Austin (TX)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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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

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.

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