SummaryPosted: Dec 19, 2024Role Number:200540110At Apple, we work every single day to craft products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. As part of our geographical expansion, we’re looking for a Senior Software Engineer and a Data engineering expert who has past experience in building Big data ETL pipelines using Spark and Data Services for exposing the data to internal applications on any cloud or Hadoop platform. We are looking for someone who is passionate about creating high-performing, scalable, well-designed back-end systems that are the foundation for critical internal and customer-facing platforms at Apple. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here.DescriptionDescriptionAs a Senior Software Engineer on our team, you'll be instrumental in crafting the future of Apple's advertising platforms. You'll work on highly scalable, low-latency systems that power billions of ad impressions daily. You'll collaborate with world-class engineers to solve complex technical challenges and drive innovation. If you're passionate about building innovative products and shaping the future of advertising, we invite you to join our team! Responsibilities: - Provide Technical Leadership: Mentor and guide a team of engineers, fostering a culture of innovation and excellence. - System Design and Architecture: Design, develop, and optimize highly scalable, distributed systems. Leverage cloud-native technologies and microservices architecture to build robust and resilient solutions. - Data Engineering and ML: Build efficient data pipelines and apply machine learning techniques to enhance ad targeting and measurement. - Problem-Solving and Innovation: Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies. - Collaboration: Work closely with product managers, architects, and other engineers to deliver high-quality solutions.Minimum QualificationsMinimum Qualifications8+ years of software engineering experience, with a focus on distributed systems, cloud technologies, and microservices architectureStrong proficiency in Java, Scala, or C++Deep understanding of cloud platforms (AWS, GCP, Azure)Expertise in DevOps technologies (Docker, Kubernetes)Proficiency in database technologies (SQL, NoSQL)Bachelor's / Master’s degree in Computer Science or equivalentKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsBS in Computer Science or equivalent degree requiredData Engineering skills using Spark are preferredExposure to building Pub/Sub mechanism for message flowExposure to applied machine learning, Analytics and business intelligence is a plusCommitment to developing high-quality software and productsCuriosity to explore and understand data is a strong plusExcellent spoken and written communication skillsEducation & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore