Site Reliability Engineer - AI Data Platform Pipelines

Apple Inc.; Austin (TX); On-site; USD 140,000 - 170,000; Full time

Job summary

Apple Inc. is seeking a Site Reliability Engineer for AiDP Production Engineering in the Austin area. You will engineer resilient, scalable, real-time and batch data pipelines across bare‑metal, cloud, and Kubernetes environments to support Apple’s critical business functions.

You’ll optimize performance, manage incidents, and partner with cross‑functional teams to design robust architectures that power analytics at scale for Apple’s global operations.

Qualifications

• 4+ years experience in cloud-native services and ETL frameworks like Apache Spark and Flink.
• 4+ years experience in messaging systems (Kafka) and cloud infra (AWS, GCP) & Kubernetes.
• 4+ years in modern distributed databases (Snowflake, Cassandra, SingleStore, SAP HANA).
• 4+ years programming in Python or Java.
• BS/MS in computer science or equivalent experience.

Responsibilities

• Understand application requirements (Performance, Security, Scalability) and select suitable AWS/Baremetal/Kubernetes topologies.
• Build automation for self-healing systems and infrastructure reliability.
• Develop monitoring tools for high performance and low-latency apps.
• Troubleshoot production issues across software, networks, and data pipelines.
• Collaborate with teams to prioritize defects and drive incident resolution.

Skills

Python

Java

Problem solving

Communication

Education

BS/MS in Computer Science

Tools

Apache Spark

Flink

Kafka

AWS

GCP

Kubernetes

Snowflake

Cassandra

SingleStore

SAP HANA

Job description

Apple Inc. is seeking a Site Reliability Engineer for AiDP Production Engineering in the Austin area. You will engineer resilient, scalable, real-time and batch data pipelines across bare‑metal, cloud, and Kubernetes environments to support Apple’s critical business functions.

You’ll optimize performance, manage incidents, and partner with cross‑functional teams to design robust architectures that power analytics at scale for Apple’s global operations.