Senior Software Engineer, Apple Ads at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Micro Services, Data Driven Platforms, Java, Scala, C++, NoSQL, Cassandra, Kafka, Spark, Flink, Cloud, Data Infrastructure, AWS, AI/ML, API Design, Distributed Data Processing

Industry

Computers and Electronics Manufacturing

Description

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. MINIMUM QUALIFICATIONS 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. PREFERRED QUALIFICATIONS 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

The role involves collaborating with product management to define external APIs for campaign management and designing/implementing performant AI/ML platforms for online prediction. Responsibilities also include implementing low latency, high volume ad-serving systems and engineering secure, scalable distributed data processing systems.