Sr. Software Engineer, Core Services - Apple Services Engineering

Washington, WA, US • Posted 13 hours ago • Updated 36 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • FOCUS
  • Scalability
  • Product Requirements
  • Editorial
  • Meta-data Management
  • Computer Science
  • Communication
  • Collaboration
  • Attention To Detail
  • Switches
  • Web Services
  • Analytical Skill
  • Data Structure
  • Algorithms
  • NoSQL
  • Apache Solr
  • Elasticsearch
  • Redis
  • Memcached
  • Apache Cassandra
  • Messaging
  • Apache Kafka
  • Big Data
  • Apache Spark
  • Apache Hadoop
  • Java
  • Mentorship
  • Motivation
  • Music

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of developers and customers. The ASE (Apple Services Engineering) Core Services team is looking for a Sr. Software Engineer to help build creative features that will enhance the experience of using these services for our millions of customers around the world. We will work on building and enhancing large-scale systems using distributed data stores with a strong focus on scalability and performance. We partner with a variety of cross and multi-functional team members from a diverse array of groups across the company. You will join a hands-on development team that fosters creativity and generates novel solutions based on engineering excellence, and will be a part of an innovative impactful team making a difference.

Description

Come join the ASE Core Services team! You'll work with like-minded experts to develop solutions to meet product requirements and new architectures to extend our capabilities and platforms. Together, we will model content metadata into catalog and editorial entities to power all of our services, and serve these entities worldwide through our online content system and offline feeds. You will work cross-functionally to understand what content metadata is needed to power upcoming features and then model the metadata into cohesive, scalable entities. To enhance the online content system, you will find innovative ways to weave together various technologies to push the boundaries of the CAP theorem and think about performance in terms of median, 95th, and 99th percentile. You will also help develop a data transformation platform by working with various Big Data technologies to optimally deliver millions of updates to hundreds of consumers in an efficient and timely manner. Consumers include partners within Apple, like Shazam and Siri, as well as partners outside of Apple to improve our integrations with 3rd party platforms.

Minimum Qualifications

BS or MS in Computer Science or a related field

At least 8+ years of experience.

Experience leading complex engineering projects from inception to production.

Excellent communication skills. Can effectively communicate complex ideas and make compelling arguments.

Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc.

Enjoys deep technical and product discussions. Has attention to detail and can context switch across multiple projects.

Can see the big picture, set a vision, and grow the team and platform in accordance to that vision.

Hands-on experience working on scalable web services and features that span multi-functional teams.

Exceptional analytical skills combined with a deep knowledge of data structures and algorithms.

Experience with NoSQL data stores like Solr, Elastic Search, Redis, Memcached, Cassandra, Voldemort, etc.

Experience integrating messaging technologies like Kafka.

Experience with Big Data technologies like Spark and Hadoop ecosystem.

Experience with Java.

Preferred Qualifications

Experience with mentoring, guiding, and motivating other team members.

Interest in music and playlists.
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: 37c1fab5675d766649a508662b532909
  • Posted 13 hours ago
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