Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• designing cloud-based systemsintermediate
• building cloud-based systemsintermediate
• managing cloud-based systemsintermediate
• storing large datasetsintermediate
• processing large datasetsintermediate
• transforming large datasetsintermediate
• analyzing large datasetsintermediate
• ensuring data accessibilityintermediate
• ensuring infrastructure reliabilityintermediate
• ensuring infrastructure securityintermediate
• working with AWSintermediate
• working with cloud providersintermediate

Required Qualifications

• 5+ years of experience in Site Reliability Engineering with a strong focus on building, scaling and operating cloud based distributed data systems. (experience, 5 years)
• Proven expertise running cloud infrastructure built on managed services offered by cloud providers like AWS (experience)
• Strong technical grasp and experience working on Open Source technologies designed for large scale data processing, like Apache Spark, Flink, Kafka, Iceberg, etc. (experience)
• Big Data processing and storage systems (streaming and batch) (experience)
• Strong expertise and experience with container orchestration systems like Kubernetes (experience)
• Experience designing, analyzing and troubleshooting large-scale distributed systems. (experience)

Preferred Qualifications

• Proven experience as a committer to open-source projects like Apache Spark, Flink, etc (experience)
• Track record of driving automation, cost optimization and performance tuning at scale for data systems. (experience)
• Experience leveraging ML and GenAI capabilities to improve infrastructure and Operational efficiency is a plus. (experience)
• Experience driving adoption of new technologies and influencing designing of systems. (experience)
• Strong programming skills on object-oriented, functional or procedural programming languages, preferably Java / Scala / Kotlin / Python (experience)
• Experience designing and managing Infrastructure as Code with Helm and CRD, ensuring repeatable, secure, and scalable deployments. (experience)

Responsibilities

• 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.
• Your high-level responsibilities will include:
• Design, build and manage large scale distributed data systems on AWS using services such as EMR, EKS, MSK.
• Design and develop internal tooling and automation frameworks to improve data infrastructure reliability, cost-efficiency, and operational visibility.
• Collaborate with cross-functional engineering teams like advertising, machine learning and data platforms to define infrastructure architecture, troubleshoot complex issues, and drive production excellence.
• Lead initiatives to eliminate toil via automation, improve efficiency and scalable deployment patterns.
• Contribute 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.

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