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

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 role designs and maintains highly scalable distributed components for a real-time bidding platform, including a real-time budget system and stream data processing engine. The Senior Software Engineer will work closely with data scientists and product teams to build optimal data pipelines and data tools. Requires 5+ years of experience in distributed systems, proficiency in Java, and hands-on use of AI development tools.

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 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 Technical Solution Engineer role serves as a technical liaison between Appier and clients, ensuring successful adoption of AI-powered ad solutions. Responsibilities include guiding clients through onboarding, preparing technical specifications, troubleshooting issues, and analyzing data to optimize business outcomes. Requires strong SQL, JavaScript, and mobile development knowledge, with native Korean and professional English communication 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 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.