Expression of Interest(채용관심등록): Software Engineer - Korea

About Moloco: Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet. Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture) , the AI system behind every Moloco product. At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next. 채용 관심 등록 / Expression of Interest: We're always looking to connect with exceptional Software Engineers interested in joining Moloco's R&D team in Seoul. This posting allows you to share your profile for future opportunities, even if there isn't a currently open role aligned with your experience. Whether you specialize in backend systems, frontend development, or full-stack engineering, we encourage you to submit your resume — we'd love to stay in touch. Moloco 서울 R&D 팀에 합류하고 싶은 뛰어난 소프트웨어 엔지니어를 항상 찾고 있습니다. 현재 공개된 포지션이 없더라도, 이 등록 페이지를 통해 먼저 이력서를 제출해 주시면 향후 적합한 기회가 생겼을 때 연락드리겠습니다. 백엔드 시스템, 프론트엔드 개발, 혹은 풀스택 엔지니어링 등 전문 분야와 무관하게 지원을 환영합니다. Experience: 4–15 years of software development experience across backend, frontend, or full-stack systems, with a track record of leading complex, large-scale projects as seniority grows Bachelor's degree or above in Computer Science or equivalent Strong problem-solving skills with solid fundamentals in data structures and algorithms Experience designing and implementing scalable systems — whether server-side APIs and infrastructure, or user-facing web and mobile interfaces Experience with large-scale distributed systems, high-throughput data pipelines, or performance-critical frontend applications Hands-on experience with public cloud platforms such as GCP, AWS, or Azure Proficiency working with AI coding tools as a force multiplier — you plan before prompting, provide architectural context, review generated code critically, and know when to write code yourself versus when AI adds genuine value Fluency in both Korean and English (spoken and written) Our Tech Stack: Backend: Go, Java, Python · GCP / AWS · Kubernetes · BigQuery · Dataflow / Apache Beam · Kafka · gRPC / REST APIs Frontend: TypeScript / JavaScript · React · Web performance optimization · Mobile web How You Work:  Your ethos is ownership You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs. You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value. You demonstrate strong judgment under uncertainty.  You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete. You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges. You lead through clarity and active listening.  You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions.  You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made. You collaborate early, instead of solving in isolation. You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope.  You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships. You fall in love with the problem, not the solution You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem.  When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the tec