Senior Software Engineer (Apple Ads)

Quick Facts

Senior Software Engineer on the Apple Ads Engineering team, focused on candidate retrieval and real-time ad selection backend systems.

Description

Design, develop, and operate distributed services that enable real-time ad selection. Build low-latency, high-availability, high-throughput ad-serving systems in the cloud, plus secure, scalable data processing pipelines for petabyte-scale indexing and retrieval. Collaborate with indexing, search, serving, SRE, product, and operations teams; there is flexibility to apply algorithmic search, ML, NLP, and AI to retrieval and ranking.

Responsibilities

• Architect, design, and implement internet-scale, low-latency, highly-available ad-serving systems in a cloud environment.
• Build performant micro-services and distributed data platforms supporting high data volumes and QPS.
• Engineer secure, scalable distributed data processing pipelines for petabyte-scale indexing and retrieval.
• Apply algorithmic search, machine learning, NLP, and AI to candidate retrieval and ranking.
• Collaborate with internal teams to support indexing and searching use cases.
• Partner with product managers, operations, SREs, and engineers to define requirements and deliver end-to-end systems.
• Write clean, efficient, well-documented code; participate in code reviews and mentor engineers.
• Debug and resolve complex issues across large-scale distributed systems.
• Contribute ideas that improve the platform while staying current with search, retrieval, distributed systems, ML/AI, and cloud infrastructure.

Requirements

• 6+ years of experience architecting and developing internet-scale server software for Linux.
• Strong computer science fundamentals (algorithms and data structures).
• Strong coding skills in Go, Java, Rust, C++, Scala, or a similar OOP/functional language.
• Hands-on experience designing and operating scalable micro-services.
• Search technology experience (Lucene, Solr, Elasticsearch).
• NoSQL datastore expertise (e.g., Cassandra).
• Data processing technology experience (Kafka, Spark, Flink) for petabyte-scale datasets.
• AWS experience (S3, EC2, EKS/Kubernetes) and strong debugging/problem-solving skills.
• Proven ability to deliver complete end-to-end systems independently and as part of a team.
• Excellent written and verbal communication across technical and non-technical cross-functional teams.
• Bachelor’s degree in Computer Science or equivalent experience.

Benefits

Not specified in the provided posting.