People at Apple don't just build products they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here!

The Apple Services Engineering Security team builds and provides secure systems and infrastructure that fuel Apple's services (such as i Cloud, i Tunes, Siri, App Store, and Maps). As part of the ASE Security team, you will help manage the security needs of Apple's services around the world. You will build and integrate the security controls, guardrails, and frameworks that help protect our customers data in Apple's infrastructure.

Your effort will help build solutions to a variety of outstanding security challenges in software supply chain, security posture, and risk management. Join us, and you'll play a meaningful role in ensuring the highest standard of security for one of the most-watched companies in the world.

Description

We're looking for exceptional data engineers who have a strong background in distributed data processing, have great and demonstrable data intuition, and share our passion for continuously improving the ways we use data to make the Apple's products, applications, and platform secure, safe, and better.","responsibilities":"Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data

Own and evolve extremely rich datasets to power a wide variety of use cases for security posture

Build forward-looking data solutions that interface well with existing systems and use judgement to bring cutting edge technologies in the industry to suit security needs

You will be accountable to produce quality software that meet service level objectives

Participate in code and security reviews to help your peers to meet high standards for infrastructure at Apple

Research, prototype, and present ideas and designs to your team, management, and internal customers

Preferred Qualifications

Experience with Cloud Computing platforms like Amazon AWS, Google Cloud

Experience with OSI model and understanding of how network works (Load Balancer, Routers, network tagging, Net Flow)

Understanding of the full technology stack (from BMCs, Firmware, to OS layer, to containers and applications) primitives

Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others

Experience with Search systems (such as Elastic Search, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)

Experience building distributed, high-volume data services

Minimum Qualifications

8+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines

Highly proficient in at least one of Java, Python or Scala

Deep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills

Familiar with AWS cloud resources (S3, EC2, RDS etc)

MS or BS or equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering

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 .