Software Engineer (Test Platform Intelligence), Developer Workflows

Our team owns critical tools and services used by the internal Apple Engineering community every day to execute tests at scale in the cloud, with a North Star of greatly improving engineering velocity and productivity. You'll find ways to combine our unique problem domain with established techniques related to large-scale test execution, applying intelligence to how testing resources are allocated and consumed at scale — from intelligent test selection, to optimizing device utilization across testing workloads. You'll work alongside our team to ensure Apple's engineering teams can get faster, more reliable feedback on their changes, enabling them to develop amazing applications and deliver the highest quality software. You'll analyze requirements, constraints, and existing foundational elements to inform high-level architectural solutions that achieve high performance at scale, reliability, and long-term maintainability. You'll combine creative problem solving with data-driven approaches to continuously identify opportunities to make test execution smarter, more efficient, and improve overall testing throughput. Once solutions are identified, you will collaborate closely with the team to implement them while developing appropriate testing and operational mechanisms. You will be most successful here as a flexible and proactive engineer who thrives in a supportive, respectful, and balanced work environment with interesting and challenging problems to tackle. You have excellent judgment and integrity with the ability to make timely and sound decisions. You know how to drive constructive discussion of design points, learn from your team, and use your experience to advocate and teach others. In your role as an engineer on our team you will: Spend a majority of your time working to build tools and services that improve developer productivity and contributing to operational and engineering standards used across the organization. Apply intelligent and data-driven approaches, leveraging signals such as code coverage and semantic analysis of code changes, to drive smarter test selection and optimize how devices are leveraged for testing at scale. Collaborate with your teammates to help refine problem requirements and work with teams to implement long-lasting solutions. Engage with other teams to help identify issues and establish long term relationships that include knowledge sharing. Provide valuable feedback loops to engineering teams backed by application metrics and log data. Drive areas of service scalability (resiliency, redundancy, performance) by collaborating in planning meetings. Develop expertise and be given ownership over components critical to Apple's success. Contribute to engineering high-performance systems through algorithm design, optimization, and performance testing. Design new ways to scale Apple's distributed developer tools and services to ever-increasing problem sizes. Have access to the engineers who create Apple's full technology, tools, and operating systems stack. 4+ years of software engineering experience building, deploying, or maintaining developer tools, build/test platform infrastructure or production platform services (not solely test automation or QA) Strong programing skills (preferably Swift or a similar language). Experience building, deploying, or maintaining developer tools, production web services, or CI/CD infrastructure. Experience with different testing types and approaches. Experience owning features from conception to release and troubleshooting production issues. BS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience. Experience with Xcode, Swift Package Manager, or Apple’s developer toolchain. Experience building or contributing to build or test execution infrastructure. Experience applying data-driven or intelligent techniques to test selection, resource management, or other optimization problems. Familiarity with Large Language Models (LLMs) or experience applying them to real-world engineering problems. Positive and respectful attitude in a diverse environment.

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