Lead SRE - Large-Scale Data Platforms & AI-Driven Ops

Apple Inc.; Cupertino (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Apple is seeking an extraordinary DevOps/SRE engineer to scale large data platforms and analytics tools within the Insight ecosystem. You will drive reliability, automation, and observability for a multi-exabyte data landscape supporting Apple’s products and manufacturing operations.

You’ll apply AI/ML techniques to operations, implement deep observability dashboards, and collaborate with global teams across time zones to improve system resilience and performance at scale.

Qualifications

• 3+ years of experience in SRE, DevOps, or platform engineering.
• Proficiency in Python or Java.
• Experience with AWS or GCP and big-data or streaming tech like Kafka/Elasticsearch/Redis/Bigtable.
• Experience applying AI/ML or LLM techniques to development or operations.

Responsibilities

• Own reliability, performance, and scalability of services within the Insight ecosystem.
• Drive automation to reduce toil and improve observability (SLOs/SLIs).
• Lead incident response and post-incident reviews with architectural improvements.
• Develop AI-driven alerting, anomaly detection, and automated incident triage.
• Collaborate with cross-functional teams across Apple’s manufacturing services.

Skills

Python programming

Java programming

Analytical thinking

Education

BS/MS in Computer Science

Tools

Kafka

Elasticsearch

Redis

Bigtable

Druid

ClickHouse

Object storage

Docker

Kubernetes

Grafana

Prometheus

Kibana

ArgoCD

Jenkins

GitHub Actions

Job description

Apple is seeking an extraordinary DevOps/SRE engineer to scale large data platforms and analytics tools within the Insight ecosystem. You will drive reliability, automation, and observability for a multi-exabyte data landscape supporting Apple’s products and manufacturing operations.

You’ll apply AI/ML techniques to operations, implement deep observability dashboards, and collaborate with global teams across time zones to improve system resilience and performance at scale.