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 complex issues investigate system behaviour and provide clear actionable technical innovative approaches including AI/ML techniques for test and maintain automation that integrates with CI/CD pipelines to ensure rapid reliable with senior developers and engineers to improve the testability scalability and reliability of your expertise in both software development and specialized technology domains.
- 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.
- 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.
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 ...
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 complex issues investigate system behaviour and provide clear actionable technical innovative approaches including AI/ML techniques for test and maintain automation that integrates with CI/CD pipelines to ensure rapid reliable with senior developers and engineers to improve the testability scalability and reliability of your expertise in both software development and specialized technology domains.
- 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.
- 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.
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