Principal Software Engineer, AI Ads

Lead the strategy, design, development, and optimization of global, low-latency shopping ads, travel, and product graph systems. Partner with scientists, engineers, and product leaders to turn research and prototypes into reliable production systems. Advance AI-native development through coding agents, agentic engineering, harness engineering, and vibe coding. Mentor engineers, raise technical excellence, and reshape AI-driven development workflows. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Extensive experience architecting, developing, and operating highly reliable, massive-scale, globally distributed production systems, particularly big data infrastructure. Hands-on expertise in one or more of the following areas: online advertising, information retrieval, large-scale data processing, microservices, distributed systems, real-time streaming technologies such as Kafka, Flink, or Spark Streaming, or AI infrastructure. Demonstrated ability to lead cross-team technical strategy, influence key decisions, and align engineering, data science, and product management to turn research and business ideas into production systems in fast-moving, ambiguous environments. Hands-on experience with AI-driven development practices, including coding agents, agentic workflows, harness engineering, or AI-assisted software development. Solid communication and collaboration skills, with the ability to work effectively across globally distributed, multidisciplinary teams. Experience building product or knowledge graphs, including product identity, entity resolution, taxonomy, attribute extraction, graph modeling, indexing, and low-latency retrieval at global scale. Solid background in computational advertising, recommender systems, search engines, or large-scale commerce platforms. Hands-on experience with one or more of the following technologies: .NET, NoSQL databases, Azure, ADLA or ADLS, Azure Data Factory, Airflow, Presto, SQL, Kusto, Docker, Kubernetes, or AI model inference platforms. Demonstrated startup and entrepreneurial mindset, including comfort with uncertainty, bias for action, customer focus, continuous learning, and rapid experimentation. Ability to quickly evaluate, adopt, and apply emerging AI technologies to real-world engineering challenges. Passion for solving complex technical problems and improving system performance, scalability, reliability, and developer productivity. Fast learner and ability to independently manage and complete several tasks at once.