The Wireless Technologies and Ecosystems (WTE) team is seeking a talented
software developer to design and build automation frameworks, developer tools,
and test strategies that ensure the highest quality and reliability of Apple Pay
technologies, including Tap to Pay on iPhone. This is a software developer role
first and foremost: you will be designing and building tools and frameworks that
push the boundaries of test automation. Your work will directly power Apple Pay
features used by millions of people every day, ensuring secure, reliable, and
seamless payment experiences. The quality frameworks and automation you build
ensure that every transaction works seamlessly when it matters most. This role
is a great opportunity to apply strong software engineering skills to
groundbreaking technology domains. You will build production quality software,
design tools that improve developer velocity, and create effective test
strategies for complex payment systems, including exploration of innovative
approaches like AI-enhanced automation. Experience with wireless technologies is
valuable but not required: we're looking for exceptional developers who are
excited to learn and grow.
DESCRIPTION
Design and implement automation frameworks, developer productivity tools, and
scalable test tools that validate critical Apple Pay flows (with opportunities
to explore AI enhanced testing approaches). Define and execute test strategies
for critical Apple features, focusing on edge cases, regressions, and
performance. Debug complex issues, investigate system behaviour, and provide
clear actionable technical analysis. Explore innovative approaches, including
AI/ML techniques for test automation. Build and maintain automation that
integrates with CI/CD pipelines to ensure rapid, reliable delivery. Collaborate
with senior developers and engineers to improve the testability, scalability,
and reliability of systems. Grow your expertise in both software development and
specialized technology domains.
MINIMUM QUALIFICATIONS
Software development experience: 1-3 years (including internships, co-ops, or
personal projects) Strong programming skills: Demonstrated ability to design,
build, and optimize production scale software systems with clean, maintainable
code in at least one programming language (Python, Java, C++, or similar).
Computer science fundamentals: Strong understanding of data structures,
algorithms, and system design principles. Bachelor, Master or higher degree in
Computer Science, Electrical Engineering, or a related field. Version control:
Familiarity with Git or other version control systems. Quality mindset: Interest
in software reliability, scalability, and automated testing methodologies.
Problem solving ability: Strong analytical thinking and eagerness to tackle
challenging technical problems.
PREFERRED QUALIFICATIONS
Tooling: Familiarity with test automation frameworks, CI/CD pipelines, and/or
modern development tools. Interest or exposure to embedded systems, wireless
technologies (e.g., NFC, secure elements), or industry standards (ISO14443, EMV,
GlobalPlatform, Java Card). AI/ML interests: Experience with machine learning,
data science, or AI applications OR strong curiosity about applying these
techniques to testing and automation.
