Software Development Engineer in Test

19 Hours ago • 5 Years + • Testing • $175,800 PA - $312,200 PA

Job Summary

Job Description

The Apple Services Engineering (ASE) team is seeking an automation engineer for its Media Services QA team. This role focuses on developing tools, frameworks, and applications to support client-to-server automation testing. The ideal candidate will have an interest in ASE products, a drive for improving data quality, and experience with innovative tools and technologies. Responsibilities include building tools and frameworks for QA automation testing, with a good understanding of full-stack development, service infrastructures, and data analytics.

Must have:

B.S. or M.S. in Computer Science or equivalent experience
Proficiency in Swift, Python, Java, or SQL
5+ years experience in QA automation tools/frameworks
Good understanding of full-stack development
Strong skills in Kubernetes, Docker, CICD pipelines
Understanding of data analytics and machine learning concepts
Strong analytic and problem-solving skills

Good to have:

Experience with Big Data technologies (HDFS, AWS, Spark, Kafka, Cassandra)
Experience with near real-time (NRT) and Batch data pipelines
Self-motivated and able to contribute in a team environment
Comfortable and adaptable in a fast-paced environment
Good soft skills, especially listening and collaboration
Willingness to work multi-functionally
Experience with ML model training or fine-tuning
Experience building enterprise ML applications with Pytorch, Scipy, Scikit-learn

Perks:

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses
Potential for discretionary bonuses or commission payments
Potential for relocation assistance

22 skills required

22 skills required for this role

Add these skills to join the top 1% applicants for this job

data-analytics

game-texts

quality-control

automated-testing

html

user-interface

aws

spark

scikit-learn

pytorch

cassandra

docker

front-end

kubernetes

back-end

python

sql

typescript

swift

javascript

java

machine-learning

Job Details

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.

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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.

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.

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

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.

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.

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