About the role

What will you do at Apple?

The Production Engineering team within the AI and Data Platform (AiDP)

organization manages a wide array of real-time, near real-time, and batch

analytical solutions. These platforms are integral to core business functions

across Apple. These include sales, operations, finance, AppleCare, marketing,

and services, and are instrumental in driving critical, data-driven decisions.

To build these solutions, we leverage a combination of proprietary and leading

open-source technologies such as Kafka, Spark, Iceberg, and Airflow. A key part

of our mission is to enable AI-centric automations that enhance the overall

eﬃciency and intelligence of the platform. We are looking for passionate

engineers who thrive on solving complex infrastructure challenges at scale, both

on-premises and in the cloud. If you are dedicated to optimizing scalable,

maintainable, and user-friendly systems, you will find compelling opportunities

to make a significant impact at AiDP.

DESCRIPTION

The Service Reliability Engineer (SRE) role within AiDP Production Engineering

is a dynamic position that blends strategic architectural design with hands-on

technical execution. As an SRE, you will be responsible for configuring, tuning,

and ensuring the resilience of complex, multi-tiered systems to achieve optimal

application performance, stability, and availability. Our team manages critical

data pipelines and applications across both bare-metal and cloud computing

platforms, delivering essential data processing for all of Apple’s key business

functions. We operate at an immense scale, handling exabytes of data, petabytes

of memory, and tens of thousands of jobs to enable predictable and performance

data analytics that power features and inform decisions across the company. If

you are passionate about designing, building, and running data infrastructure

that has a direct and significant impact on Apple’s global business operations,

this is the ideal opportunity for you.

MINIMUM QUALIFICATIONS

4+ years experience in cloud-native services, including ETL frameworks like

Apache Spark, and Flink. 4+ years experience in messaging systems (Kafka) and

cloud infrastructure & services, AWS, GCP, Kubernetes. 4+ years of experience in

modern & distributed databases such as Snowflake, Cassandra, SingleStore, and

SAP HANA. 4+ years of programming experience in Python or Java. BS/MS in

computer science or equivalent experience.

PREFERRED QUALIFICATIONS

Solid understanding of system design, data structures, and incident management

best practices. Should be able to understand complex architectures and be

comfortable working with multiple teams. Observability tools (e.g: Prometheus,

Grafana, CloudWatch). Ability to conduct performance analysis and troubleshoot

large scale distributed systems. Should be highly proactive with a keen focus on

improving uptime/availability of our mission critical services. Strong expertise

in troubleshooting complex production issues. Excellent problem solving,

critical thinking, and communication skills. Proven ability to resolve

incidents, perform root cause analysis, and drive system reliability

improvements. Experience using GenAI or automation tools for issue detection,

alerting, or remediation. Experience in data visualization tools such as

Tableau, Business Objects, ThoughtSpot.

Which skills does this role require?

Apache SparkApache FlinkKafkaAWSGCPKubernetesSnowflakeCassandraSingleStoreSAP HANAPythonJavaSite Reliability EngineeringProduction EngineeringAI and Data PlatformSparkIcebergAirflowETLFlinkCloud-NativeLLMs

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