The Apple Maps Data Infrastructure team needs exceptional engineers to help build capabilities across a spectrum of technologies in a hybrid-cloud environment. As a key contributor, you will be at the forefront of shaping the technological landscape, focusing on machine learning infrastructure, batch processing, real-time processing, and data Lakehouse technologies.

This role offers a great opportunity to power a variety of business units through technological innovation at Apple. The Maps Data Infrastructure team is committed to supporting the Apple Maps business by building technological capabilities that not only enable the business operations but also optimize infrastructure efficiency. We are facing challenges every day to deal with data at a massive scale. That is why we are looking for strong engineers who love solving challenging problems through conducting independent research and collaborating with teams across Apple. As a senior member of our team, you will be at the forefront of tackling challenging problems and addressing a wide array of use cases. Your role involves delivering innovative solutions, providing insightful perspectives on emerging technologies, and making platform-level impacts. This is an opportunity to work on innovative projects that demand creativity, strategic thinking, and a commitment to excellence. If you’re ready to embrace diverse challenges, contribute to groundbreaking solutions, and be a driving force behind technological advancements, we invite you to join us on this exciting journey.

We are looking for an exceptionally curious and motivated candidate who is excited by the opportunity to rapidly build the reputation of subject matter of expert in data and ML infra field across the org. You will collaborate with a wide range of internal teams, listening intently to understand their pain points and true underlying needs. Using your problem-solving abilities, you will draw insights that enable you to scope, architect, and deliver innovative high-quality solutions.

This role offers substantial scope for capability-building across multiple domains and technologies, learning deeply from our expert teams of developers, data engineers, and data scientists. The candidate is expected to have strong fundamentals in relevant domains that will facilitate self-directed learning driven by intellectual curiosity. We provide a collaborative environment that empowers you to expand your expertise rapidly. You will engage broadly across the organization, using excellent communication skills to translate needs into solutions. If accelerating your learning excites you and you aspire to become a leading authority in multiple technology spheres, this is the opportunity for you.

10 years of hands-on experience in the realm of large-scale data processing and/or machine learning infrastructure, showcasing a robust understanding of the complexities associated with such environments.Familiarity with a diverse set of technologies, including but not limited to Iceberg, S3, Data Governance, Data lakehouse, Kafka, Spark and machine learning ecosystem.Strong hand-on programming skills, particularly in Java or other JVM languages, showcasing the ability to develop robust, scalable, and maintainable codebases for intricate data and machine learning infrastructure.A strong sense of ownership and an unwavering commitment to excellence in all aspects of work.A customer-focused approach, combined with excellent listening skills and a deep understanding of user requirements. Be adept at translating user needs into actionable solutions and acting as a subject matter expert in customer discussions.Exhibit proficiency in scoping and prioritizing tasks with a focus on incremental delivery and an iterative approach, ensuring adaptability to evolving project requirements.