> Markdown version of [/jobs/ext/2298833-software-engineer-apple-ads](https://www.wearedevelopers.com/jobs/ext/2298833-software-engineer-apple-ads). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Apple Ads - **Company:** Apple Inc. - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Automated Storage and Retrieval Systems, C++ (Programming Language), Apache Lucene, Code Review, Software Debugging, Linux, Distributed Systems, Elasticsearch, Fault Tolerance, Machine Learning, Natural Language Processing, NoSQL, Object-Oriented Software Development, Scala (Programming Language), Search Technologies, Apache Solr, Rust (Programming Language), Data Processing, Apache Spark, Backend, Kubernetes, Information Technology, Apache Flink, Cassandra, Data Analytics, Adserver, Apache Kafka, Data Management, Functional Programming, Software Coding, Data Pipelines, Microservices - **Published:** August 29, 2026 - **Apply:** https://www.dice.com/job-detail/c452d2d0-6cd2-476b-9e62-513868c7222b ## About the Role engineers on the team. Collaboration with internal partners across indexing, search, serving, operations, and program management to define requirements and deliver high-quality solutions is essential. You should be passionate about building products that protect user privacy and thrive in a fast-paced environment with rapidly changing priorities - and have fun doing it., 3+ years of industry experience architecting and developing internet-scale server software for Linux systems, including scalable micro-services or data-driven platforms. Strong background in computer science fundamentals, including 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. Experience with search technologies such as Lucene, Solr, or Elasticsearch. Expertise with NoSQL datastores (e.g., Cassandra). Proficiency with data processing technologies (e.g., Kafka, Spark, Flink) and methods for processing petabyte-scale datasets. Experience with AWS services such as Amazon S3, EC2, and EKS/Kubernetes. Strong problem-solving and debugging skills. Demonstrated ability to work on complex problems and systems, alone or as part of a team, to deliver complete systems end to end. Excellent written and verbal communication skills, with the ability to work effectively with technical and non-technical cross-functional teams, including operations and project management partners. Bachelor's degree in Computer Science or equivalent experience. Preferred Qualifications Master's degree in Computer Science or a related field. Experience creating groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. Experience building ad-serving, recommendation, or large-scale retrieval systems. Familiarity with real-time bidding, candidate retrieval, or ranking pipelines. Experience operating services with strict latency and availability SLOs. Familiarity with privacy-preserving system design and data-handling practices. Strong understanding of distributed systems fundamentals - consensus, replication, and fault tolerance. A desire to work in a fast-paced and challenging environment, and a fast learner with strong motivation for growing and learning new technologies. ## Description You will design, develop, and operate the distributed services that make real-time ad selection possible at Apple. You will architect and build low-latency, high-availability, high-throughput ad-serving systems in a cloud environment, engineer secure and scalable data processing pipelines that operate on petabyte-scale datasets, and implement performant services that handle very high data volumes and QPS. You will work cross-functionally to ensure that optimal and correct ads are available for real-time selection, and that observability and flexibility are provided for stakeholders. While this role focuses on the candidate retrieval part of Apple Ads, we are not constrained by organization structure and offer the flexibility to contribute across a variety of backend systems, including opportunities to apply algorithmic search, machine learning, NLP, and AI to hard retrieval problems. 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