{"id":4105691,"url":"https://alion.io/job/apple-software-engineer-apple-ads","title":"Software Engineer, Apple Ads","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":90,"open_postings":824,"ghost_share":0,"stale_share":0.214,"repost_share":0.006,"time_to_fill_p50_days":122,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Cassandra","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Rust","optional":false},{"name":"Scala","optional":false},{"name":"SLI/SLO/SLA","optional":true}],"status":"live","first_seen_at":"2026-11-11T21:23:53Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T22:29:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Apple is where we use the power of technology to enrich people's lives. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.\nJoin the Apple Ads Engineering team and help build an advertising platform that benefits both customers and advertisers. Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV - helping people discover content, supporting creators and publishers, and connecting advertisers of all sizes with engaged audiences, all with the unwavering commitment to privacy you expect from Apple. In this role, you will design, develop, and launch the highly-performant, internet-scale backend systems that select and deliver the right ads in real time, collaborating across engineering, product, and infrastructure to bring elegant solutions into production at Apple scale.\nDescription\nYou 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. You will write clean, efficient, well-documented code, participate in code reviews, and mentor other 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.\nMinimum Qualifications\n3+ years of industry experience architecting and developing internet-scale server software for Linux systems, including scalable micro-services or data-driven platforms.\nStrong background in computer science fundamentals, including algorithms and data structures.\nStrong coding skills in Go, Java, Rust, C++, Scala, or a similar OOP/Functional language.\nHands-on experience designing and operating scalable micro-services.\nExperience with search technologies such as Lucene, Solr, or Elasticsearch. Expertise with NoSQL datastores (e.g., Cassandra).\nProficiency with data processing technologies (e.g., Kafka, Spark, Flink) and methods for processing petabyte-scale datasets.\nExperience with AWS services such as Amazon S3, EC2, and EKS/Kubernetes. Strong problem-solving and debugging skills.\nDemonstrated ability to work on complex problems and systems, alone or as part of a team, to deliver complete systems end to end.\nExcellent 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.\nBachelor's degree in Computer Science or equivalent experience.\nPreferred Qualifications\nExperience creating groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence.\nExperience building ad-serving, recommendation, or large-scale retrieval systems.\nFamiliarity with real-time bidding, candidate retrieval, or ranking pipelines.\nExperience operating services with strict latency and availability SLOs.\nFamiliarity with privacy-preserving system design and data-handling practices.\nStrong understanding of distributed systems fundamentals - 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