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Sr. Ruby on Rails Engineer, ASE at Apple

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ruby on Rails, Debugging, Analytical Skills, Problem Solving, Interpersonal Skills, Front-end Development, HTML, CSS, JavaScript, Stimulus JS, SQL, Testing, Big Data, Product Decisions, UX/UI Decisions

Industry

Computers and Electronics Manufacturing

Description

The Apple Services Engineering team is an exciting example 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, Apple Books, and more. They deliver secure, end-to-end solutions with an unwavering commitment to Apple’s core value of privacy. Services teams are designed to be small, nimble, and cross-functional, offering engineers broad exposure and significant impact across a vast array of services that are central to Apple's business. DESCRIPTION We are looking for a proven software engineer to build and enhance our internal quality evaluation tools. This is a great opportunity for someone passionate about designing and building features from start to finish. You will use data to drive decision making. You will work with our users to iterate on functionality. You will build tools to help our engineers and data scientists iterate upon and improve features for Apple customers. Does this sound like role for you? Join us! MINIMUM QUALIFICATIONS 10+ years professional experience with Ruby on Rails Ability to write readable, maintainable, and performant code Excellent debugging, analytical, problem solving, and interpersonal skills Knowledge of basic front-end development (HTML, CSS, JavaScript, Stimulus JS, etc.) Comfortable working with and writing SQL Comfortable writing tests for your code Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS Understanding of large-scale applications Proficiency in big data (structured and unstructured) Comfortable making product and UX/UI decisions

Responsibilities

Build and enhance internal quality evaluation tools. Use data to drive decision making and work with users to iterate on functionality.