Site Reliability Engineer - Data, Apple Ads

Austin, TX, US • Posted 17 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Customer Experience
  • MLS
  • PASS
  • Privacy
  • Advertising
  • ADS
  • FOCUS
  • IaaS
  • Managed Services
  • Cloud Computing
  • Amazon Web Services
  • Open Source
  • Data Processing
  • Apache Spark
  • Apache Flink
  • Apache Kafka
  • Orchestration
  • Kubernetes
  • Machine Learning (ML)
  • Generative Artificial Intelligence (AI)
  • Operational Efficiency
  • Big Data
  • Data Storage
  • Streaming
  • Optimization
  • Performance Tuning
  • Object-Oriented Programming
  • Programming Languages
  • Java
  • Scala
  • Kotlin
  • Python
  • Management

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. 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 1e68cb497d7262dce5b840e131f34ed7
  • Posted 17 hours ago
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