Software Engineer (Data) - Ad Delivery

Apple

15h

About The Position

Apple Ads helps developers and businesses reach customers on the App Store through highly relevant, privacy-focused advertising. Our engineering teams build the infrastructure that powers ad delivery at Apple scale — from search and retrieval to auction, ranking, and measurement. We are looking for a Software Engineer to join the team responsible for Apple Ads" Ad Delivery Services — the runtime and offline systems that decide, for every ad request, which candidates are eligible, safe, and available to serve. Ad Delivery Services sit on the critical path of every impression Apple Ads serves. The team owns capability areas across Budget & Spend, Ad Delivery Policy, Traffic Quality, Request & Query Understanding, and Targeting Enrichment. Each capability is a low-latency service called inline during ad serving, plus the offline pipelines that keep it accurate.

Requirements

• 2-5 years of software engineering experience with a focus on backend or distributed systems
• Strong programming skills in Java (Spring / Spring Boot), including concurrency and JVM performance
• Hands-on experience building and operating high-throughput, low-latency services with sub-100 ms latency budgets
• Solid understanding of service design fundamentals — REST/gRPC APIs, timeouts, retries, circuit breakers, backpressure, and graceful degradation
• Experience with streaming data infrastructure such as Apache Kafka or equivalent
• Familiarity with cloud platforms (AWS preferred), container orchestration, and CI/CD
• Strong operational instincts — metrics, logging, alerting, and on-call ownership
• Hands-on experience with using AI for development and/or building AI-based tools

Nice To Haves

• Background in Advertising technology — ad serving, budget pacing, spend accounting, policy enforcement, fraud/traffic quality, or query understanding
• Experience with near-real-time counter systems at scale
• Experience with KV stores and region-replicated caches, and reasoning about staleness and consistency
• Familiarity with information retrieval basics — query normalization, tokenization, stemming, spell correction, close/broad variants
• Background in trust and safety, bot detection, or fraud prevention systems
• Experience with offline enrichment pipelines (Spark, Flink, or equivalent) alongside runtime services
• Track record of improving developer tooling, test coverage, and platform ergonomics in a large shared codebase

Responsibilities

• Design, build, and operate low-latency backend services that participate in every ad request, with strict SLAs and fail-safe behavior
• Own one or more Ad Delivery capability areas end-to-end — from service design and data contracts to production operations
• Build near-real-time data pipelines that keep runtime services accurate: spend counters, policy rules, targeting attributes, and traffic-quality signals
• Define and evolve service contracts with the adserver and adjacent platforms (auction, ranking, experimentation, retrieval)
• Implement fail-closed semantics — when a signal is missing or stale, safely decline to serve and emit a structured reason code that flows through the downstream funnel
• Contribute to a shared data-grid plane used by ad serving for local, region-replicated lookups
• Build observability, debugging, and replay tooling so on-call engineers can quickly reason about eligibility, spend, and policy decisions
• Participate in on-call rotations and lead incident response for production ad-delivery systems
• Partner with engineers across Cupertino, Austin, and Hyderabad in a one-team model

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed