Senior Staff Cloud Backend Engineer - Observability and Site Reliability

What You Will Do Observability and Monitoring Design, implement, and maintain observability solutions for datacenter infrastructure, including monitoring, logging, alerting, and telemetry systems. Develop, deploy, and operate large-scale observability and telemetry platforms with a focus on real-time monitoring, high performance, and scalability. Own and contribute to the full lifecycle of observability services—from design and development to deployment and ongoing optimization. Build and enhance monitoring systems to ensure high availability, reliability, and performance of infrastructure. Create and manage dashboards, alerts, and reports to provide clear visibility into system health, performance, and capacity trends. Site Reliability Engineering (SRE) Apply SRE principles and best practices to improve reliability, scalability, and operational efficiency of datacenter services. Develop and maintain automation for infrastructure provisioning, monitoring, and system management. Lead root cause analysis (RCA) and post-incident reviews, driving corrective actions to prevent recurrence and improve system resilience. Performance Optimization Analyze system and application performance across the datacenter infrastructure to identify bottlenecks and improvement areas. Implement optimization strategies to enhance performance, efficiency, and resource utilization. Collaboration Partner with cross-functional engineering teams to understand observability and reliability requirements and deliver effective solutions. Collaborate with hardware and software vendors to evaluate, integrate, and optimize new technologies within the ecosystem. Security and Compliance Ensure observability and reliability solutions adhere to organizational security policies and industry standards. Implement and maintain appropriate security controls to safeguard infrastructure, systems, and data. Troubleshooting and Support Provide hands-on support for observability and reliability issues, including debugging complex hardware and software problems. Develop and maintain documentation, including troubleshooting guides and operational best practices, to support efficient issue resolution. Continuous Improvement Stay current with emerging trends, tools, and technologies in observability and SRE, and incorporate them into the platform. Continuously enhance the scalability, reliability, and operational efficiency of datacenter services through proactive improvements. 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 Preferred Qualifications 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 Type of work model Hybrid Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work. Details to consider Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/