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Software Development Engineer in Test, Wallet Payments & Commerce

Apple

Salary not specified
Nov 14, 2025
Austin, TX, US
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Apple is seeking to build sophisticated solutions to boost engineering productivity and ensure the delivery of high-quality code for a flawless user experience that impacts hundreds of millions of customers worldwide, especially as Apple Pay experiences exponential growth and requires scaling of test infrastructure for fast, effective integrations.

Requirements

  • Proficiency in object-oriented programming and design, with experience in a languages like Java or Kotlin.
  • Experience designing, building, or extending test automation frameworks (e.g., Kotest, TestNG).
  • Ability to design and execute comprehensive server-side test plans.
  • Experience building or consuming web services and working with both gRPC and REST based services.
  • Solid understanding of web technologies, including front-end (e.g., REACT) and back-end systems.
  • Foundational understanding of application security concepts (e.g., authentication, authorization, cryptography).
  • Proficiency with Linux environments and at least one scripting language (e.g., Python, JavaScript).

Responsibilities

  • build sophisticated solutions to boost engineering productivity
  • ensuring the delivery of high-quality code for a flawless user experience
  • building both client and server test automation
  • building test infrastructure to enable continuous delivery
  • scale our test infrastructure for fast, effective integrations
  • design, document, and automate tests
  • design and develop scalable services that build a robust test infrastructure

Other

  • Opportunity to build scalable test infrastructure that enables accelerated code delivery with thorough testing.
  • Opportunity to collaborate with highly skilled cross-functional teams to build and ship great software.
  • The freedom to develop and implement innovative strategies to ensure exceptional product quality and reliability.
  • Evangelize quality tools, techniques and best practices across Apple.
  • Foundational knowledge of Data Science and Machine Learning technologies with applications in Quality Engineering.