Software Engineer II - Moloco Commerce Media (소프트웨어 엔지니어)
Seoul, Korea On-site
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About the role
As a Software Engineer on the MCM(Moloco Commerce Media) team, you will build and evolve backend systems, experimentation capabilities, and product workflows that power Moloco Commerce Media’s retail media platform. Your work will directly shape how retailers, advertisers, and internal teams launch, scale, measure, and improve commerce media products and monetization strategies. You will help deliver reliable, scalable, and data-informed solutions across campaign and bidding workflows, pricing and pacing logic, experimentation, and platform integrations, driving meaningful customer and business impact. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
What you'll bring
- BS/MS in Computer Science or a related technical field, or equivalent practical experience.
- 4+ years of software engineering experience in backend or full-stack development.
- Proficiency in at least one modern programming language such as Java, Go, C++, or Python.
- Solid understanding of data structures, algorithms, and system design, with hands-on experience building or maintaining distributed systems and web services / APIs.
- Experience working with relational or NoSQL databases and large-scale production systems.
- Experience owning features or components end-to-end under guidance from more senior engineers.
- Ability to collaborate effectively in a cross-functional environment with Product, Data Science, ML, Customer Engineering, and other engineering teams.
- Fluent verbal and written communication skills in English
- ability to discuss designs, trade-offs, and timelines with global stakeholders.
- Experience building backend systems for advertising, e-commerce, marketplace, retail media, or other high-scale product platforms.
- Experience working on experimentation, feature rollout, configuration management, or decisioning systems in production environments.
- Experience with bidding, pricing, recommendation, attribution, or other optimization-related product areas.