Staff Software Engineer, C++ Backend Development (Ad Cloud Bidding) - Tokyo Relocation required

This role is for a Senior Backend Engineer, responsible for designing, building, and maintaining scalable backend systems. It requires strong experience in backend development, APIs, and cloud infrastructure.

This Senior Software Engineer role focuses on designing, coding, and maintaining highly scalable software components and data pipelines for a real-time bidding platform. The engineer will work with large-scale distributed systems, optimize data extraction and transformation, and mentor junior engineers. Requires Java, multi-threading, JVM tuning, and SQL/NoSQL database experience.

This backend engineering role within Reddit's Ads organization focuses on building microservices, APIs, and distributed systems that power advertiser-facing products and ad delivery. The engineer will work on real-time data-intensive systems for campaign measurement and interactive ad experiences, using technologies like Go, Python, Scala, Spark, Kafka, and Kubernetes. Responsibilities include collaborating with product managers, improving operational stability, and owning features end-to-end.

This Senior Back-end Engineer role develops and maintains backend services for Coupang's advertiser platform. The engineer will implement new features, improve system performance, and ensure the reliability of advertising APIs.

This role focuses on owning agent features end to end, from problem definition and design to shipping and measuring quality in production. The scientist will contribute to the design, development, and productionization of enterprise AI agents including Marketing, Strategy, Data Analysis, and Sales and Service agents, building agent capabilities as reusable skills and MCP tools. Requires 2+ years of experience in ML or software engineering, hands-on experience building at least one LLM or agent application end to end, and strong SQL and data reasoning skills.

This role serves as a strategic bridge between Appier's product applications, client data, and business requirements, architecting and implementing solutions using existing products. Requires SQL and Python for data extraction and modeling, dashboard development with Tableau or Looker, and experience with A/B testing and data governance. The consultant translates client feedback into product requirements and collaborates with Product, Customer Success, and Sales teams.

This role focuses on developing and deploying machine learning models and evaluation frameworks for enterprise AI solutions, with a strong emphasis on LLM output quality and A/B testing. The scientist will work end-to-end from problem definition to production, collaborating with PMs and engineers, and will also monitor post-launch performance and communicate risks. Requires a Master's or PhD in a relevant field, at least 2 years of ML experience, and hands-on experience with classification, regression, ranking, retrieval, and LLM-as-a-judge evaluation.