Quality Engineer, Retail Interactive Technology

Socket.dev

Sunnyvale (CA)

On-site

USD 140,000 - 190,000

Full time

6 days ago
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Job summary

Apple is seeking a senior Quality Engineer to own quality across demo delivery pipelines for Apple Stores worldwide. You will design automated coverage across OS-regression cycles, production and delivery pipelines, and collaborate with cross-functional teams to ensure robust quality practices for major releases.

The role requires strong Python/Swift skills, hands-on experience with end-to-end test automation, and deep knowledge of Apple platforms and deployment lifecycles.

Qualifications

  • 7+ years in software quality engineering, test automation, or software development.
  • Demonstrated leadership defining quality strategy for multiple systems or release pipelines.
  • Experience mentoring QA engineers on automation and build-pipeline literacy.
  • Proficient in Python and Swift; improve legacy code and drive fixes with teams.
  • Experience designing, building, and maintaining end-to-end test automation frameworks; strong manual testing.
  • Experience validating across iOS/iPadOS, macOS, watchOS, tvOS, visionOS; understanding of deployment and release practices.
  • Skilled at testing on physical and virtual Apple hardware.
  • Experience with CI/CD pipelines and version control (Jenkins, TeamCity, GitHub, Docker/Kubernetes, Ansible).

Responsibilities

  • Own quality across demo delivery pipelines to Apple Stores worldwide.
  • Design and drive automated coverage across OS-regression cycles, production and delivery pipelines.
  • Collaborate with cross-functional engineering teams to align tooling, testing, and reporting standards.
  • Provide risk-based test design, triage issues and root-cause failures spanning multiple layers.
  • Make go/no-go quality decisions and define release strategies with rollback plans.

Skills

Quality engineering
Test automation
Leadership
Mentoring QA
Python
Swift
E2E testing
Manual testing
Apple platforms testing
Root cause analysis
Release decisions
CI/CD

Education

BS in CS/CE

Tools

Jenkins
TeamCity
GitHub
Docker/Kubernetes
Ansible

Job description

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. We’re a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways. That innovation is inspired by a shared commitment to great work — and to each other. Because learning from the people here means we’re learning from the best. Retail Operations creates the tools and programs that empower our teams to provide, a one of a kind, only at Apple experience. We do this by obsessing over the employee and customer experience, and driving a global strategy that sets the bar. The Retail Technology, QA Engineering team owns quality standards, strategy and execution for customer facing interactive apps and systems. Our stack spans AV hardware, interactive players, device targeting logic, demo apps, content management systems, content bundles, SDKs and experience frameworks. We compose all of this into innovative, scaleable customer demo experiences worldwide.

Description

We are seeking a Quality Engineer to own quality across demo delivery pipelines to Apple Stores worldwide. You will design and drive automated coverage across OS-regression cycles, production and delivery pipelines, engineering toolchains and OTA distribution mechanisms for every major release. Deep partnership with cross-functional engineering teams is essential because this work sits at the intersection of Apple operating systems and store demo environments.

Minimum Qualifications
  • 7+ years in software quality engineering, test automation, or software development.
  • Demonstrated technical leadership defining quality strategy for multiple systems or release pipelines.
  • Track record partnering directly with software and build engineers to influence tooling design, quality practices and aligning reporting standards across partner organizations.
  • Experience mentoring QA engineers on automation and build-pipeline literacy.
  • Proficient in Python and Swift, comfortable improving legacy code, committing and driving fixes through to completion in partnership with multiple engineering teams.
  • Proven experience designing, building, and maintaining end-to-end test automation frameworks, paired with strong manual and exploratory testing skills.
  • Experience validating across multiple Apple platforms: iOS/iPadOS, macOS, watchOS, tvOS, and visionOS, with a deep understanding of Apple OS fundamentals including deployment and update mechanics, as well as build lifecycle and release management practices.
  • Skilled at testing on physical and virtual Apple hardware.
  • Experienced at lab device provisioning, fleet management, and configuration management.
  • Proficient in test planning, risk-based test design, issue triage, log analysis and independently root-causing failures that span multiple layers (network, OTA systems, hardware, operating systems, device settings, content, applications).
  • Make go/no-go quality decisions, and define release strategies with risk-mitigation and rollback plans.
  • Experience with CI/CD pipelines and version control (Jenkins, TeamCity, GitHub, Docker/Kubernetes, Ansible).
  • BS in Computer Science, Computer Engineering, or equivalent practical experience.
Preferred Qualifications
  • Experience validating against pre-release software, working with beta builds
  • Comfortable navigating disclosure constraints, working through ambiguity, and defining expected behavior in the absence of finalized requirements
  • Experience testing AI- or ML-driven features where output is non-deterministic
  • Experience leveraging AI in workflows and automation
  • Excellent written and verbal communication.
  • Able to report quality and release-readiness status clearly to cross-functional and leadership stakeholders.
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