Senior Software Engineer, Apple Ads

Apple • Cupertino, CA

11h

About The Position

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this
same approach to advertising, helping people find exactly what they’re looking
for and helping advertisers grow their businesses. Our technology powers ads and
sponsorships across Apple Services, including the App Store, Apple News, and MLS
Season Pass. Everything we do is designed for trust, connection, and impact: We
respect user privacy, integrate advertising thoughtfully into the experience,
and deliver value for advertisers of all sizes—from small app developers to big,
global brands. Because when advertising is done right, it benefits everyone!

DESCRIPTION

Ad-Delivery is a diverse, global, agile engineering team that moves smart and
fast by consuming and optimizing readily-available technology, collaborating to
improve and scale capabilities across businesses and use cases, and sharing our
own innovative solutions so everyone can benefit. Our platforms are
highly-performant, deployed at scale, and used by internal systems and thousands
of developers and advertisers worldwide while protecting user privacy. We are
not constrained by organization structure and offer flexibility to work on a
variety of backend systems, and we have fun doing it! You will: - Collaborate
with product management to define external APIs for campaign management. -
Design and implement performant AI/ML platforms for online prediction. -
Implement low latency, highly available, high volume user facing ad-serving
systems in a cloud environment. - Engineer secure and scalable distributed data
processing systems that generate data required for online ad-serving systems.

Requirements

• 6 or more years of industry experience building scalable micro services or data driven platforms.
• Strong computer science fundamentals and data engineering fundamentals
• Prior experience with Java/Scala/C++ or equivalent.
• Expertise in NoSQL datastores ( e.g Cassandra, Keyspaces, ElastiCache) and data modeling
• Proficiency in data processing technologies (e.g Kafka, Spark, Flink )
• Experience building and scaling systems in the cloud
• Strong technical skills with proven experience developing, architecting, and supporting scalable data infrastructure
• Familiarity with cloud paradigms ( e.g AWS )
• Bachelors degree in Computer Science or equivalent is required.
• Master's degree preferred.

Nice To Haves

• Demonstrated ability to work on complex problems and systems
• Strong problem solving and debugging skills.
• Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
• A desire to work in a fast-paced and challenging work environment

Responsibilities

• Collaborate with product management to define external APIs for campaign management.
• Design and implement performant AI/ML platforms for online prediction.
• Implement low latency, highly available, high volume user facing ad-serving systems in a cloud environment.
• Engineer secure and scalable distributed data processing systems that generate data required for online ad-serving systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level