Job Details

Role Number: 200636738-0240

Summary

The Production Engineering team within the AI and Data Platform (AiDP) organization manages a
wide array of real-time, near real-time, and batch analytical solutions. These platforms are integral to
core business functions across Apple. These include sales, operations, finance, applecare,
marketing, and services, and are instrumental in driving critical, data-driven decisions. To build these
solutions, we leverage a combination of proprietary and leading open-source technologies such as
Kafka, Spark, Iceberg, and Airflow. A key part of our mission is to enable AI-centric automations that
enhance the overall e?ciency and intelligence of the platform. We are looking for passionate
engineers who thrive on solving complex infrastructure challenges at scale, both on-premises and in
the cloud. If you are dedicated to optimizing scalable, maintainable, and user-friendly systems, you
will find compelling opportunities to make a significant impact at AiDP.

Description

The Service Reliability Engineer (SRE) role within AiDP Production Engineering is a dynamic position
that blends strategic architectural design with hands-on technical execution. As an SRE, you will be
responsible for configuring, tuning, and ensuring the resilience of complex, multi-tiered systems to
achieve optimal application performance, stability, and availability. Our team manages critical data
pipelines and applications across both bare-metal and cloud computing platforms, delivering
essential data processing for all of Apple’s key business functions. We operate at an immense scale,
handling exabytes of data, petabytes of memory, and tens of thousands of jobs to enable
predictable and performance data analytics that power features and inform decisions across the
company.
If you are passionate about designing, building, and running data infrastructure that has a direct and
significant impact on Apple’s global business operations, this is the ideal opportunity for you.

Minimum Qualifications

• 4+ years experience in cloud-native services, including ETL frameworks like Apache Spark, and Flink.

• 4+ years experience in messaging systems (Kafka) and cloud infrastructure & services, AWS, GCP, Kubernetes.

• 4+ years of experience in modern & distributed databases such as Snowflake, Cassandra, SingleStore, and SAP HANA.

• 4+ years of programming experience in Python, Java.

• BS/MS in computer science or equivalent experience.

Preferred Qualifications

• Solid understanding of system design, data structures, and incident management best practices.

• Should be able to understand complex architectures and be comfortable working with multiple teams.

• Observability tools (e.g: Prometheus, Grafana, CloudWatch).

• Ability to conduct performance analysis and troubleshoot large scale distributed systems.

• Should be highly proactive with a keen focus on improving uptime/availability of our mission critical services.

• Strong expertise in troubleshooting complex production issues.

• Excellent problem solving, critical thinking, and communication skills.

• Proven ability to resolve incidents, perform root cause analysis, and drive system reliability improvements.

• Experience using GenAI or automation tools for issue detection, alerting, or remediation.

• Experience in data visualization tools such as Tableau, Business Objects, ThoughtSpot.

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. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .