Software Development Engineer in Test

Summary

Posted:May 06, 2025

Weekly Hours:40

Role Number:200595201

The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and multi-functional, offering greater exposure to the array of opportunities here.

Description

The Media Services QA team is seeking an automation engineer who is interested in ASE products, wants to have an impact on those products, excels at improving data quality, and is driven to use and create innovative tools and technologies. This role involves developing tools, frameworks, and applications to support client-to-server automation testing teams.

Minimum Qualifications

• B.S.or M.S. in Computer Science or equivalent experience.
• Proficiency in Swift, Python or Java, SQL
• 5+ years experience in building tools and frameworks for QA automation testing
• Good understanding of full-stack development including back-end services and front-end UI design in Javascript or Typescript
• Strong skills in building and developing with service infrastructures such as Kubernetes, Docker, CICD pipelines
• Understanding of data analytics, data interrelationships and data pipeline
• Understanding of machine learning concepts
• Strong analytic and problem-solving skills

Preferred Qualifications

• Experience with Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Cassandra)
• Experience with near real-time (NRT) and Batch data pipelines
• This position demands a self-motivated individual with strong technical who can contribute in a team environment.
• Comfortable and adaptable in a fast-paced environment.
• Good soft skills especially listening and working with collaborators
• Willingness to work multi-functionally with other teams.
• Experience with ML model training or fine-tuning
• Experience building enterprise level machine learning applications with Pytorch, Scipy, Scikit-learn

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.