2 months ago
Responsibilities
- Design, develop, and operate distributed services supporting real-time ad selection and candidate retrieval.
- Architect low-latency, highly available, high-throughput ad-serving systems in a cloud environment.
- Build secure, scalable data-processing pipelines for petabyte-scale datasets and high-volume workloads.
- Develop performant services, observability capabilities, and flexible systems for engineering and business stakeholders.
- Collaborate with engineering, product, infrastructure, indexing, search, serving, operations, and program management partners.
- Write clean, efficient, documented code, participate in code reviews, and mentor other engineers.
- Apply algorithmic search, machine learning, natural language processing, or artificial intelligence to challenging retrieval problems as opportunities arise.
- Design products and systems that protect user privacy.
Requirements
- At least 6 years of industry experience architecting and developing internet-scale server software for Linux systems, including scalable microservices or data-driven platforms.
- Strong computer science fundamentals, including algorithms and data structures.
- Strong coding skills in Go, Java, Rust, C++, Scala, or a similar object-oriented or functional language.
- Hands-on experience designing and operating scalable microservices.
- Experience with search technologies such as Lucene, Solr, or Elasticsearch and expertise with NoSQL datastores such as Cassandra.
- Proficiency with data-processing technologies such as Kafka, Spark, or Flink and petabyte-scale data-processing methods.
- Experience with AWS services such as Amazon S3, EC2, and EKS/Kubernetes.
- Ability to solve complex problems and deliver complete systems end to end, independently or collaboratively.
- Strong written and verbal communication skills for working with technical and non-technical cross-functional teams.
- Bachelor's degree in Computer Science or equivalent experience.
- Preferred: master's degree in Computer Science or a related field.
- Preferred: experience with algorithmic search, machine learning, natural language processing, artificial intelligence, ad-serving, recommendation, retrieval, real-time bidding, ranking pipelines, strict latency and availability SLOs, privacy-preserving design, and distributed-systems fundamentals.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.