About the Role

At Apple, we work every day to build 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 Apple Ads in 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.

We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data products that solve exciting business problems. Responsibilities range from designing and implementing core stream-processing capabilities, to supporting privacy preserving critical pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions.

At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. As a part of the data organization, we work at the cutting edge of data engineering, machine learning, and privacy at Apple's scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. We are looking for a Software Engineer to build the future of our real-time stream processing systems.

You will join and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity. We are one team, nurturing each other's growth and supporting each other in delivering for our customers and Apple.

Responsibilities

• Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Flink, Hadoop, Kafka, Cassandra and beyond
• Collaborate with a team of world-class data infrastructure engineers and product managers to apply leading-edge techniques and technologies that process petabytes of realtime streaming events
• Lead a group of talented data infrastructure engineers and help align the technical direction across the entire Ad Platforms data organization

Minimum Qualifications

• 8+ years of industry experience building scalable data pipelines and data platforms
• Strong computer science and data engineering fundamentals
• Expertise in programming languages such as Python/Java/Scala
• Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, Elasti Cache)
• Expertise in relational databases and SQL
• Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
• Experience building and scaling systems on premise and in the cloud
• Strong technical skills with proven experience developing and supporting scalable data infrastructure
• Ability to communicate effectively with multi-functional technical and non-technical teams
• BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field

Preferred Qualifications

• Prior experience in advertising industry is a huge plus!

Equal Opportunity

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.