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! 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. Candidates will work cross functionality to ensure that optimal and correct ads are available for real-time ad selection, and view-ability and flexibility are provided for internal stakeholders. While this role does focus on the candidate retrieval part of the Apple Ads, we are not constrained by organization structure and offer flexibility to work on a variety of backend systems, and we have fun doing it!
Responsibilities
- Collaborate with multiple internal teams to support indexing and searching use cases across the organization
- Design and implement performant services to support high volume data & QPS
- Implement low latency, highly-available, high volume ad-serving systems in a cloud environment
- Engineer secure and scalable distributed data processing systems
Requirements
- 6+ years of industry experience building scalable micro services or data driven platforms
- Strong computer science fundamentals
- Prior experience with Java/Scala/C++ or equivalent
- Prior experience with Search technologies (Lucene, Solr, Elastic Search etc.)
- Expertise in NoSQL datastores (e.g Cassandra)
- Proficiency in data processing technologies (e.g Kafka, Spark, Flink)
- Experience designing scalable micro services
- Familiarity with cloud paradigms (e.g AWS)
- Bachelors degree in Computer Science or equivalent is required
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
