Software Quality Engineer - Automation, Apple Pay

Santa Clara Valley (Cupertino), California, United States
Software and Services

Summary

Posted:
Weekly Hours: 40
Role Number: 200079122
Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join our Apple Pay Software Quality Engineering team and drive innovation that matters! In this position, you will be responsible for designing, implementing and supporting an automation framework, APIs and tools that will be used by E2E and UI automation teams.

Key Qualifications

  • Experience in payment ecosystems such as point of sale readers and back end
  • Strong software development automation experience
  • Professional experience with python, ruby, java, javascript and sql.
  • In-depth understanding of OS X, Windows and/or Unix
  • Excellent problem solving and debugging skills
  • Excellent written and verbal communication skills
  • Ability to handle multiple projects and a variety of roles within projects
  • Demonstrated ability to learn and understand the technical components and architecture of the system
  • Thrive in a collaborative environment and can clearly communicate while confidently driving multiple projects across many teams
  • Obsessively passionate, hungry, inquisitive, and seek to solve everyday problems in innovative ways
  • Laser-focused on the smallest details that are important to our customers
  • Good understanding of SQA methodologies & practices

Description

As an Apple Pay Software Quality Engineer, you will automate, break and strive improve Apple’s revolutionary mobile payment solution. The ideal candidate will be highly efficient and motivated individual with a love of infrastructure engineering. They must enjoy working on multiple concurrent projects in a fast-paced environment that fosters growth, teamwork, innovation and a passion to change the world.

Education & Experience

Bachelors Degree or Master in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience required

Additional Requirements