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# Reliability Engineer - Data, Apple Ads

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Big Data, Cloud Computing, Data Systems, Distributed Data Store, Distributed Systems, Python (Programming Language), Object-Oriented Software Development, Open Source Technology, Performance Tuning, Cloud Services, Datadog, System Availability, Apache Spark, Generative AI, Procedural Programming, Kotlin, Kubernetes, Low Latency, Apache Flink, Apache Kafka, Data Pipelines
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_apple2-200680797

## About the Role

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

## Description

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.