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Apple

engineering opportunity

Site Reliability Engineer - Data, Apple Ads

You will design, build, and manage cloud-based infrastructure to store, process, and analyze large datasets. You will ensure that data systems remain accessible, reliable, and secure within cloud environments like AWS.

Austin, Texas, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this

same approach to advertising, helping people find exactly what they’re looking

for and helping advertisers grow their businesses. Our technology powers ads and

sponsorships across Apple Services, including the App Store, Apple News, MLS

Season Pass and Apple Maps. Everything we do is designed for trust, connection,

and impact: We respect user privacy, integrate advertising thoughtfully into the

experience, and deliver value for advertisers of all sizes—from small app

developers to big, global brands. Because when advertising is done right, it

benefits everyone.

DESCRIPTION

As a Data Site Reliability Engineer in Apple Ads, you will focus on designing,

building, and managing cloud-based systems and infrastructure that stores,

process, transforms and analyzes large datasets. You will ensure data and

corresponding infrastructure is accessible, reliable, and secure within the

cloud environment, working with various Apple Internal and 3rd party cloud

providers like AWS.

MINIMUM QUALIFICATIONS

2+ years of experience in Infrastructure Engineering with a strong focus on

building, scaling and operating cloud based distributed data systems. Proven

expertise running cloud infrastructure built on managed services offered by

cloud providers like AWS Strong technical grasp and experience working on Open

Source technologies designed for large scale data processing, like Apache Spark,

Flink, Kafka, Iceberg or other similar technologies Strong expertise and

experience with container orchestration systems like Kubernetes Experience

leveraging ML and GenAI capabilities to improve infrastructure and Operational

efficiency

PREFERRED QUALIFICATIONS

Big Data processing and storage systems (streaming and batch) Track record of

driving automation, cost optimization and performance tuning at scale for data

systems. Experience designing, analyzing and troubleshooting large-scale

distributed systems. Experience driving adoption of new technologies and

influencing designing of systems. Strong programming skills on object-oriented,

functional or procedural programming languages, preferably Java / Scala / Kotlin

/ Python Experience designing and managing Infrastructure as Code with Helm and

CRD, ensuring repeatable, secure, and scalable deployments.

Which skills does this role require?

Infrastructure EngineeringCloud InfrastructureAWSApache SparkFlinkKafkaIcebergKubernetesMachine LearningGenAISite Reliability EngineeringData EngineeringCloud ComputingBatch ProcessingSparkLLMs

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Role information can change. Confirm current details on the original application page.

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