Software Tools and Automation

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At Apple, the details matter and nowhere is that more true than in the data that shapes how millions of people experience Apple TV every day. The Apple Services Engineering Analytics QA team makes sure that data is trustworthy across every platform Apple TV calls home: iOS, iPadOS, macOS, tvOS, visionOS, and web. We're looking for a QA Analytics Engineer who's excited by that challenge. This is a rare mix of skills and we know it. You might come from a client testing background, have deep experience with data and SQL, or somewhere in between. What matters most is that you're curious, thorough, and eager to grow.

Description

This role sits at the intersection of client testing and data validation. Day-to-day work spans testing on real devices, simulators, and direct data queries. When something looks off, we document it thoroughly, attaching queries, HAR files, and a clear explanation of what's broken and why. Test plans are detailed: platforms in scope, the specific fields under test, and how we're validating them. You'll work closely with client, server, and data engineers, EPMs, and stakeholders, so being able to communicate clearly across those groups is part of the job. The people who do best here are naturally curious, have a sharp eye for what doesn't add up in large datasets across multiple platforms, and are always looking for ways to automate the repetitive stuff so the team can focus on what actually requires human judgment.","responsibilities":"Validate analytics instrumentation across all Apple TV platforms using real devices, simulators, and direct data queries

Write and maintain automated test scripts to improve coverage and reduce manual toil

Document test plans detailing platforms in scope, fields under test, and validation approach

File detailed bug reports with supporting evidence including queries and HAR files, with a clear explanation of the issue and its impact

Collaborate with client, server, and data engineers to understand changes and assess testing scope

Communicate findings clearly to both technical partners and non-technical stakeholders

Preferred Qualifications

Familiarity with Apple native platforms (iOS, iPadOS, macOS, tvOS, visionOS)

Experience with log analysis or observability tools such as Splunk

Familiarity with distributed SQL engines such as Trino is a plus

Experience with XCUI automation

Exposure to agentic coding tools or AI-assisted development workflows

Minimum Qualifications

Bachelor's degree in a STEM field or equivalent relevant experience.

Experience with network traffic analysis, including an understanding of how network requests work, inspecting payloads, and diagnosing missing or malformed events (e.g. Charles Proxy, browser dev tools, or similar)

Experience querying and validating data using SQL

Experience writing test automation scripts in Python, Swift, or similar

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 .