Site Reliability Engineer Data, Apple Ads

At Apple we focus deeply on our customers experience. Apple Ads brings this same approach to advertising helping people find exactly what theyre looking for and helping advertisers grow their 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 sizesfrom small app developers to big global brands. Because when advertising is done right it benefits everyone.

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.

Design build and manage large scale distributed data systems on AWS using services such as EMR EKS MSK Iceberg and develop internal tooling and automation frameworks to improve data infrastructure reliability cost-efficiency and with cross-functional engineering teams like advertising machine learning and data platforms to define infrastructure architecture troubleshoot complex issues and drive production initiatives to eliminate toil via automation improve efficiency and scalable deployment to strategic decision making related to adoption of a multi-cloud echo system to maintain operational excellence on the current stack while still enabling the path for future innovation.

2 years of experience in Infrastructure Engineering with a strong focus on building scaling and operating cloud based distributed data systems. nProven expertise running cloud infrastructure built on managed services offered by cloud providers like AWSnStrong technical grasp and experience working on Open Source technologies designed for large scale data processing like Apache Spark Flink Kafka Iceberg or other similar technologiesnStrong expertise and experience with container orchestration systems like KubernetesnExperience leveraging ML and GenAI capabilities to improve infrastructure and Operational efficiency

Big Data processing and storage systems (streaming and batch) nTrack record of driving automation cost optimization and performance tuning at scale for data designing analyzing and troubleshooting large-scale distributed driving adoption of new technologies and influencing designing of systems. nStrong programming skills on object-oriented functional or procedural programming languages preferably Java / Scala / Kotlin / PythonnExperience designing and managing Infrastructure as Code with Helm and CRD ensuring repeatable secure and scalable deployments.