2 months ago
Seoul, Korea, SouthMid Level
Responsibilities
- Design, implement, and operate backend services, APIs, and internal systems for campaign delivery, bidding, auctions, pricing, experimentation, and product launch workflows.
- Own features and projects from problem framing and requirements review through technical design, implementation, testing, launch, and post-launch iteration.
- Partner with Product, Data Science, ML, Customer Engineering, and business stakeholders to translate retailer and advertiser needs into scalable platform capabilities.
- Contribute to experimentation and launch infrastructure that supports safe rollouts and data-driven product decisions.
- Improve system reliability, performance, and observability through testing, metrics, logging, monitoring, and incident response.
- Develop integrations and platform capabilities supporting global expansion, customer-specific requirements, and evolving commerce media needs.
- Help raise the team’s engineering standards and contribute to a collaborative culture of technical excellence.
Requirements
- Bachelor’s or master’s degree in Computer Science or a related technical field, or equivalent practical experience.
- At least four years of software engineering experience in backend or full-stack development.
- Proficiency in at least one of Java, Go, C++, or Python.
- Knowledge of data structures, algorithms, and system design, with hands-on experience building or maintaining distributed systems and web services or APIs.
- Experience with relational or NoSQL databases and large-scale production systems.
- Experience owning features or components end to end under the guidance of more senior engineers.
- Strong cross-functional collaboration and fluent written and verbal English communication skills.
- Preferred experience includes backend development for advertising, e-commerce, marketplaces, retail media, or other high-scale product platforms.
- Preferred experience includes experimentation, feature rollout, configuration management, decisioning, bidding, pricing, recommendation, attribution, or optimization systems.
- Familiarity with cloud platforms and data technologies such as GCP, BigQuery, Bigtable, Kafka, Beam, or Spark is preferred.
- Experience improving reliability, observability, testing, engineering quality, and customer-facing or business-critical systems is preferred.
- Experience working in global or multi-region environments is a plus.
Benefits
- Innovative benefits supporting employees and their families, with an emphasis on well-being, inclusion, and career growth.
Tech Stack
Categories
About MOLOCO
Moloco builds AI-driven advertising and commerce media software for mobile app marketers, retailers/marketplaces, and streaming services. Its products include Moloco Ads (a performance-focused DSP) and platforms that let retailers and streamers run their own ad businesses, with revenue from ad spend and platform fees. Founded in 2013 and headquartered in Menlo Park, it is privately held with offices across North America, Europe, and Asia.