11 hours ago
Cupertino, CA, USA or Austin, TX, USAMid Level
H1B sponsor
Responsibilities
- Design, develop, and operate distributed services for real-time ad selection and candidate retrieval.
- Architect and build low-latency, high-availability, high-throughput ad-serving systems in a cloud environment.
- Engineer secure, scalable data-processing pipelines for petabyte-scale datasets and high-volume, high-QPS services.
- Collaborate cross-functionally to ensure optimal and correct ads are available for real-time selection.
- Provide observability and flexibility for stakeholders and operate services with strict latency and availability requirements.
- Write clean, efficient, and documented code; participate in code reviews and mentor other engineers.
- Work with indexing, search, serving, operations, and program management partners to define requirements and deliver systems.
- Contribute to algorithmic search, machine learning, NLP, and AI solutions for difficult retrieval problems while protecting user privacy.
Requirements
- At least 3 years of industry experience architecting and developing internet-scale server software for Linux, including scalable microservices or data-driven platforms.
- Strong computer science fundamentals in 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.
- Expertise with NoSQL datastores such as Cassandra.
- Proficiency with Kafka, Spark, Flink, or similar data-processing technologies and petabyte-scale data-processing methods.
- Experience with AWS services such as Amazon S3, EC2, and EKS/Kubernetes.
- Strong problem-solving, debugging, communication, and cross-functional collaboration skills.
- Ability to work independently or collaboratively on complex systems and deliver complete systems end to end.
- Bachelor’s degree in Computer Science or equivalent experience.
- Preferred: experience with algorithmic search, machine learning, natural language processing, artificial intelligence, ad-serving, recommendation systems, large-scale retrieval, real-time bidding, candidate retrieval, ranking pipelines, privacy-preserving system design, and distributed-systems fundamentals including consensus, replication, and fault tolerance.
Tech Stack
Apache CassandraApache FlinkApache KafkaApache SparkAWSC++ElasticsearchGoJavaKubernetesLinuxRustScala
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.