Company

Machine Learning And AiSee more

addressAddressSeattle, WA
CategoryInformation Technology

Job description

- This position requires someone with a passion for Quality Engineering in support of delivering high quality products to Apple Customers, as well as, being a phenomenal partner with the Product Engineering teams. - You possess the right set of skills to design and develop automation frameworks with a focus on scalability and reliability of the tests, while promoting coding best practices. - As an automation expert, you will be defining requirements and providing solutions to automate the testing workflow with a strong sense of ownership. Participate in deep technical discussions with the engineering team, understand software workflows and use cases, and ensure testability of the system. - The candidate should have strong experience in developing unit, integration, and end-to-end tests to validate system functionality and performance - Implement continuous integration and deployment pipelines to streamline the testing process and identify ways to improve on the efficiency of the end-to-end workflow - Design/recommend logging telemetry to improve failure triaging efficiency and gather quality metrics - Participate/Drive post mortem discussions to think strategically about how to prevent similar issues in the future - Mentor junior members of the team and provide guidance on standard methodologies - Liaison between multiple locations and timezones (triaging, bug fixes and work coordinations)

Request

  • 7+ years of proven ability to define/design/develop/maintain end-to-end automated systems as an SDET or SDE using any combinations of Swift (XCTest), Objective-C, Python, Kotlin or Java
  • Solid background in mobile testing methodologies, tools, and frameworks. This includes experience with mobile testing automation tools like Appium, XCTest, Espresso, or similar frameworks.
  • Hands-on experience with CI/CD automation and deployment tools such as TeamCity, Jenkins, Docker, Kubernetes + Git, GitHub
  • A shown background in mobile application development for platforms such as iOS, Android, or both, with a deep understanding of multi-tenancy concepts and their implementations.
  • Knowledge of the lifecycle of mobile software upgrades, including versioning, backward compatibility, OTA updates, and managing user data migration during upgrades
  • Solid hands-on experience in logging and debugging tools i.e., Grafana, Splunk, shell scripting
  • Effective communication skills to collaborate with multi-functional teams including developers, product managers, and quality assurance engineers.
  • Excellent written and verbal communication and interpersonal skills, including achieving team goals, negotiation and getting partner agreement.
  • Self-motivated, pro-active and ability to think creatively for solving sophisticated problems in a massively distributed system
Refer code: 9027167. Machine Learning And Ai - The previous day - 2024-04-15 02:55

Machine Learning And Ai

Seattle, WA
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