Manager - Software Development Engineer in Test

Apple • Seattle, WA

6d

About The Position

The Apple Services Engineering (ASE) team is responsible for powering services like the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, delivering a wide range of entertainment content to over 150 countries. The Media Services QA team specifically ensures the end-to-end quality of Analytics offerings within Analytics & Data Engineering. This role focuses on the Music Analytics vertical, where you will lead a local team of Quality Engineers. Your responsibilities will include testing and automating client metrics instrumentation, and overseeing the quality and integrity of data ingestion, processing, aggregation pipelines, reports, and dashboards for both internal and external customers. The Apple Music Analytics QA team is looking for a highly organized and motivated Quality Manager with a strong background in data analytics and quality assurance to support a rapidly growing area of Apple. You will collaborate with ADE engineering, Client engineering, Project managers, and Data science teams to deliver high-quality features and services. You will lead a team responsible for testing and end-to-end automation of Analytics features, ensuring high-quality releases of analytics data pipelines from client to server.

Requirements

• Computer Science degree or equivalent relevant experience.
• In-depth knowledge and experience in one or more of the following technologies: Python, SQL, Swift, XCTest/XCUI, Java.
• Experience leading or strong demonstrated readiness to lead a QA team.
• Experience managing or coordinating projects and processes cross-functionally.
• Comfortable working in a continually changing and dynamic environment.
• Self-motivated and able to grasp issues quickly and make educated, critical decisions in the absence of complete requirements.
• Excellent verbal and written communication skills.
• Strong leadership capabilities.
• Expertise in test automation architecture, test planning, execution, and triage across multiple platforms.
• Strong presentation skills, capable of distilling complex analyses and concepts into concise, business-focused insights.

Nice To Haves

• Knowledge and experience with Spark, Hadoop, Kafka or other distributed systems is a big plus.
• Experience in mentoring and developing team members.

Responsibilities

• Lead a local team of Quality Engineers dedicated to testing and automating client metrics instrumentation.
• Oversee the quality and integrity of data ingestion, processing, aggregation pipelines, reports, and dashboards for both internal and external customers.
• Test and automate Analytics features end to end.
• Ensure high-quality releases of analytics data pipelines from client to server.
• Collaborate with ADE engineering, Client engineering, Project managers, and Data science teams to deliver high-quality features and services.
• Drive top issues to resolution.
• Mentor and develop team members.
• Develop test automation architecture, test planning, execution, and triage across multiple platforms.
• Present complex analyses and concepts in a concise, business-focused manner.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager