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Apple • Austin, Texas, United States
Role & seniority: Software Development Engineer in Test (SDET); seniority not explicitly stated
Stack/tools: Java/Kotlin; test automation frameworks (Kotest, TestNG); server- and client-side test automation; REST/gRPC services; web tech (React); Linux; scripting (Python, JavaScript); AI tools for developer productivity
Design, document, and automate tests; develop scalable test infrastructure to enable continuous delivery
Build and extend server-side test plans; create robust services that support fast, thorough testing
Collaborate with developers, test engineers, and project managers to deliver high-quality software impacting millions of users
Proficiency in OO programming (Java/Kotlin) and design
Experience with test automation frameworks and server-side testing
Experience with REST and gRPC; web technologies; security concepts
Troubleshooting across stack (OS, DB, network, app servers); Linux proficiency
Scripting proficiency (Python/JavaScript); ability to evangelize testing best practices
Data Science/ML knowledge applied to Quality Engineering
SQL/NoSQL, Search, Caching, Messaging platforms
Master’s degree in CS, Stats, Math, Engineering, or related field
Location & work type: Location not specified; work type not specified
Here at Apple, we build products that revolutionize entire industries. It's the diversity of our people and their ideas that encourage the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it. In this position, you will have an opportunity to join the Wallet Payments & Commerce Quality Engineering team, a group driven by curiosity, innovation, and continuous improvement. You will build sophisticated solutions to boost engineering productivity, ensuring the delivery of high-quality code for a flawless user experience that impacts hundreds of millions of customers worldwide.
DESCRIPTION
Our team is seeking a Software Development Engineer in Test with experience in building both client and server test automation. We operate in an agile environment and are building test infrastructure to enable continuous delivery, where every code change is thoroughly tested and ready for deployment. As Apple Pay experiences exponential growth, we need to scale our test infrastructure for fast, effective integrations. Come join us and help drive this initiative. In this role, you will use your strong programming fundamentals to design, document, and automate tests. You will also design and develop scalable services that build a robust test infrastructure. We are looking for someone with initiative, a curiosity for new technologies, and an aptitude for solving complex technical challenges. You will collaborate closely with developers, test engineers, and project managers to build high-quality server solutions. You’ll be involved in all phases of the application, directly impacting the experience
of millions of customers. This position will provide you with: •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.
MINIMUM QUALIFICATIONS
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). A passion for evangelizing software testing best practices and influencing architecture and design decisions. Ability to troubleshoot issues across the stack, including OS, database, network, and application servers. Proficiency with Linux environments and at least one scripting language (e.g., Python, JavaScript). Proficiency with using AI tools for developer productivity.
PREFERRED QUALIFICATIONS
Foundational knowledge of Data Science and Machine Learning technologies with applications in Quality Engineering. Experience with SQL/NoSQL data-stores, Search, Caching and Messaging platforms. Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.