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Description
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:
Minimum Qualifications
BS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience. 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. Positive and respectful attitude in a diverse environment. Experience owning features from conception to release and troubleshooting production issues.
Preferred Qualifications
Strong interest in tools and systems that support developing, building, testing, and releasing software. Experience applying data-driven or intelligent techniques to scheduling, resource management, or optimization problems. Familiarity with Large Language Models (LLMs) and experience applying them to real-world engineering problems.
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