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Senior / Staff Software Engineer, Flink, Apple Data Platform at Apple

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Distributed Systems, Apache Flink, Apache Beam, Apache Kafka, Apache Iceberg, Data Ingestion, Data Processing, Streaming Processing, Machine Learning, Kubernetes, Yarn, Performance Optimization, Data Storage, Infrastructure, Application Development

Industry

Computers and Electronics Manufacturing

Description

The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. DESCRIPTION Seeking extraordinary software engineers with deep experience in scalable streaming processing systems. You will have a passion to push the limits of distributed stateful streaming computing frameworks to get every ounce of performance out of them. Looking for engineers with In depth knowledge of systems like Flink, Beam, Kafka, Iceberg and other existing frameworks. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. MINIMUM QUALIFICATIONS 8+ years of professional experience A successful track-record or demonstrated aptitude as an engineer who has worked on distributed systems. Experienced Poweruser (at least 2 years of running production applications) of Apache Flink or Committer to Apache Flink. BS or MS degree in computer science or equivalent professional experience. PREFERRED QUALIFICATIONS Good knowledge of Apache Iceberg and Apache Kafka. Experience working on or building connectors from Flink to any of the data sources. Knowledge of Yarn, Kubernetes or other compute substrate.

Responsibilities

The role involves developing scalable streaming processing systems and optimizing distributed stateful streaming computing frameworks. The engineer will collaborate with internal teams and external communities to enhance data-intensive applications.