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쿠팡 · zz-Evergreen Requisition

Senior Staff Back-end Engineer (eCommerce Engineering)

#쿠팡 채용

이 공고, 이렇게 물어볼 겁니다

Q1
10년 이상의 백엔드 개발 경험에서, 가장 최근에 맡았던 프로젝트에서 어떤 기술적 도전을 감당해야 했나요? 그 도전을 어떻게 해결했는지 구체적으로 설명해 주실 수 있나요?
🎯 기술적 도전과 해결 능력 확인
Q2
웹스케일 마이크로서비스 설계와 운영 경험에서, 가장 최근에 맡았던 시스템에서 어떤 아키텍처적 결정이 필요했나요? 그 결정의 근거와 결과는 무엇이었나요?
🎯 아키텍처적 결정 능력 확인
Q3
AWS와 Kubernetes를 사용한 경험에서, 어떤 성능 최적화 또는 비용 감소 전략을 적용했나요? 그 전략의 효과는 무엇이었나요?
🎯 성능 최적화 및 비용 감소 능력 확인
Q4
시니어 및 스태프 엔지니어를 멘토링한 경험에서, 어떤 기술적 지식이나 경험을 공유했나요? 그 멘토링의 결과는 무엇이었나요?
🎯 멘토링 및 기술 공유 능력 확인
Q5
크로스펑셔널 팀과의 협력 경험에서, 어떤 기술적 도전을 함께 해결해야 했나요? 그 도전을 어떻게 해결했는지 구체적으로 설명해 주실 수 있나요?
🎯 크로스펑셔널 협력 능력 확인
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공고 내용

Team Overview

The Service Engineering team builds, operates, and scales the core back-end platforms that power the most critical pages across Coupang's mobile apps and web — including Home, Search, Category, Detail Page, Cart, Checkout, and Order.

Our mission is to create a next-generation data-serving platform that is highly scalable, highly available, and robust, capable of handling millions of user requests globally. We serve as the backbone of the Coupang shopping experience, and our systems are expanding beyond the Korean market to global markets such as Taiwan.

As a team, we focus on:

  • Platform scalability — designing systems that reliably handle massive traffic at low latency across multiple regions
  • Engineering excellence — maintaining best-in-class standards in code quality, architecture, testing, and operational excellence
  • AI-driven effectiveness — leveraging AI and emerging technologies to improve engineering productivity, software quality, and delivery velocity
  • Global expansion — building a platform architecture that generalizes across markets without sacrificing performance or reliability

Role Overview

We are looking for a Senior Staff Back-End Engineer to serve as the technical leader for the data-serving domain within Service Engineering. In this role, you will own the area-level technical strategy and roadmap, lead projects across multiple groups, and advise senior engineering and product leaders on strategic decisions. You will proactively identify and solve systemic technical problems spanning your area — navigating major risks, conflicting constraints, and non-technical complexity — while establishing outcome-based measurement to validate that AI and automation gains translate into real quality and cost-effectiveness. You will align technical and AI strategy with adjacent organizations, drive consensus on contentious topics, and guide the career growth of the most senior talent in your scope.

Basic Qualifications

  • 10+ years of professional backend development experience (excluding internships)
  • 7+ years of experience in Java/Kotlin/Spring-based service development and 3+ years in architecture leadership
  • Proven experience designing and operating web-scale microservices; hands-on experience with AWS and Kubernetes
  • Deep expertise in diagnosing mission-critical system failures, identifying root causes, and institutionalizing preventive measures
  • Strong communication and leadership skills to align stakeholders and drive complex technical decisions across organizations

Preferred Qualifications

  • Hands-on experience designing, building, and deploying highly-available distributed multi-tier services at global scale (multi-region, multi-datacenter)
  • Experience with cloud computing on AWS at scale — cost optimization, multi-AZ/multi-region resilience, service quotas management
  • Experience developing and operating services on Kubernetes environments at production scale
  • Experience building or owning data pipelines with Spark, Cassandra, Kafka, and Airflow
  • Track record of driving engineering excellence initiatives: reliability programs, performance optimization, tech debt reduction
  • Experience authoring and socializing design documents or ADRs that influence engineering direction beyond own team

AI Harness Engineering Qualifications

  • Demonstrated proficiency in AI-assisted software engineering — systematic use of AI tools (Copilot, Claude Code, Devin, Cursor) across planning, implementation, testing, review, and documentation
  • Experience designing AI-augmented engineering workflows for the team — prompt engineering, context management, agent-driven automation — and integrating AI capabilities into team processes (automated code review, test generation, incident triage, documentation synthesis)
  • Track recor

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