Senior Staff Cloud Backend Engineer - Observability and Site Reliability
백엔드 엔지니어정규직시니어 · 12년 이상
쿠팡에서 대규모 데이터센터 인프라의 관측 가능성(Observability) 및 SRE 솔루션을 설계하고 운영할 Senior Staff 엔지니어를 채용합니다. Go 또는 Python에 능숙하며 Kubernetes 내부 구조에 대한 깊은 이해와 12년 이상의 분산 시스템 운영 경험이 필수입니다. 대규모 인프라의 안정성과 성능 최적화를 주도할 역량 있는 분들의 많은 지원 바랍니다.
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
As a Senior Staff Data Centre Observability and Site Reliability Engineer, you will design, build, and operate scalable observability and reliability solutions for large-scale datacenter infrastructure. This role focuses on developing high-performance monitoring and telemetry platforms, ensuring system reliability, and driving operational excellence through automation, performance optimization, and SRE best practices. The ideal candidate will work across the full service lifecycle—design, deployment, and continuous improvement—while collaborating with cross-functional teams to enhance visibility, resilience, and efficiency of critical systems.
Basic Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
12+ years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations.
Proven experience in managing and optimizing large-scale datacenter environments
Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization.
Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems.
Proven experience with load balancing, service mesh, and request routing at scale.
Proficiency in observability tools and technologies (e.g., Prometheus, Grafana, ELK Stack).
Experience with SRE practices and tools (e.g., Kubernetes, Docker, Terraform).
Familiarity with cloud platforms (AWS, Azure, GCP) and their observability and reliability services
Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.
Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators.
Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP.
Experience operating in regulated environments with strict security and compliance requirements