Real-Time Ad-Serving Backend Engineer

Apple, Inc.; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple is seeking a backend software engineer in Austin to design, develop, and operate real-time ad-serving systems at internet scale. You will build low-latency, highly available services in the cloud, and work across indexing, search, and platform teams to deliver end-to-end solutions.

You will apply ML/NLP techniques to improve candidate retrieval and ranking, mentor others, and contribute to a privacy-conscious, scalable advertising platform.

Qualifications

• 3+ years architecting internet-scale server software for Linux with scalable micro-services.
• Strong CS fundamentals: algorithms and data structures.
• Proficiency in Go, Java, C++, or similar languages.
• Experience with search tech (Lucene/Solr/Elasticsearch) and NoSQL (Cassandra).
• Experience with data processing technologies (Kafka, Spark, Flink) and petabyte-scale datasets.
• Experience with AWS services (S3, EC2, EKS/Kubernetes).
• Demonstrated ability to work on complex problems alone or in a team to deliver end-to-end systems.
• Excellent written and verbal communication with cross-functional teams.

Responsibilities

• Architect, design, and implement internet-scale, low-latency ad-serving systems in a cloud environment.
• Build performant micro-services and distributed data platforms for high data volumes and QPS.
• Engineer secure, scalable distributed data processing pipelines for petabyte-scale datasets.
• Apply AI/ML techniques to advance candidate retrieval and ranking.
• Collaborate with multiple internal teams to support indexing and searching use cases.

Skills

Go

Java

C++

Distributed systems

Algorithms & data structures

Education

Bachelor's degree in Computer Science or equivalent experience

Tools

Kafka

Spark

Elasticsearch

Cassandra

Kubernetes

AWS

Job description

Apple is seeking a backend software engineer in Austin to design, develop, and operate real-time ad-serving systems at internet scale. You will build low-latency, highly available services in the cloud, and work across indexing, search, and platform teams to deliver end-to-end solutions.

You will apply ML/NLP techniques to improve candidate retrieval and ranking, mentor others, and contribute to a privacy-conscious, scalable advertising platform.