Senior Site Reliability Engineer (sre), Data - Apple Ads

Senior Site Reliability Engineer (SRE), Data - Apple Ads

Cupertino, California, United States

Software and Services

Role Number: 200620419

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, processes, 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.

Responsibilities

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 ecosystem to maintain operational excellence on the current stack while still enabling the path for future innovation.

Minimum Qualifications

5+ years of experience in Site Reliability 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, etc. Big Data processing and storage systems (streaming and batch). Strong expertise and experience with container orchestration systems like Kubernetes. Experience designing, analyzing and troubleshooting large-scale distributed systems.

Preferred Qualifications

Proven experience as a committer to open-source projects like Apache Spark, Flink, etc. Track record of driving automation, cost optimization and performance tuning at scale for data systems. Experience leveraging ML and GenAI capabilities to improve infrastructure and operational efficiency is a plus. 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.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

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.