Reliability Engineer - Data, Apple Ads

Flink, Kafka) supporting petabyte-scale batch and streaming pipelines with high availability and low latency. + Track record owning reliability and performance of cloud-native data platforms (AWS/Kubernetes), including capacity planning, cost optimization, and incident response for production-critical systems. + Ability to partner with data science, ML, and product teams to define infrastructure standards, automate deployment/observability tooling, and mentor engineers on distributed systems best practices. + 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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 + Experience designing, building, and operating large-scale distributed data infrastructure (e.g., Spark

Weekly Hours: 40 Role Number: 200680797-0157 Summary 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.