Staff Cloud Backend Engineer- Observability and Site Reliability

Company Introduction

We exist to wow our customers. We know were 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 were 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 whats possible to solve problems and break traditional Coupang now to create an epic experience in this always-on high-tech and hyper-connected world.

Role Overview

As a Staff Data Centre Observability and Site Reliability Engineer you will own the design and operation of scalable observability platforms to ensure the reliability performance and availability of datacentre services. You will apply SRE best practices automation and performance optimization to deliver resilient infrastructure. This role partners closely with engineering teams and vendors to drive operational excellence while maintaining security and compliance standards.

What You Will Do

Observability and Monitoring:
Design implement and maintain observability solutions for datacentre infrastructure.
Develop deploy and maintain the operational and reliability components of a large-scale Observability and Telemetry collection platform emphasizing performance at scale real-time monitoring logging and alerting.
Participate in and enhance the entire lifecycle of services from inception and design to deployment operation and refinement.
Develop and optimize monitoring systems to ensure high availability and performance.
Create and manage dashboards alerts and reports to provide visibility into system health and performance.

Site Reliability Engineering (SRE):
Implement SRE best practices to improve the reliability scalability and performance of datacentre services.
Develop and maintain automation scripts for infrastructure provisioning monitoring and management.
Conduct root cause analysis and post-mortem reviews to prevent recurrence of incidents.

Performance Optimization:
Analyze and optimize the performance of datacentre systems and applications.
Implement best practices for resource utilization and efficiency. Collaboration:
Work closely with other engineering teams to understand and meet their observability and reliability requirements.
Collaborate with hardware and software vendors to evaluate and integrate new technologies.

Security and Compliance:
Ensure that observability and reliability solutions comply with security policies and industry standards.
Implement and maintain security measures to protect data and infrastructure.

Troubleshooting and Support:
Provide support for observability and reliability-related issues including debugging and resolving hardware and software problems.
Develop and maintain documentation for troubleshooting procedures and best practices.

Continuous Improvement:
Stay updated with the latest advancements in observability and SRE technologies and integrate them into the infrastructure.
Continuously improve the reliability scalability and performance of datacentre services.

Basic Qualifications

• Education:Bachelors orMasters degree in Computer Science Engineering ora relatedtechnical field.

• Experience:812 years of progressive software engineering experience with a heavy emphasis on distributed systems cloud-native architectures or platform operations.

• Programming:StrongproficiencyinGoorPython with a deep understanding of networked systems and performance optimization.

• Orchestration:Expert-level knowledge ofKubernetesinternals (scheduling controllers) and containerization ecosystems.

• Traffic Management:Proven experience with load balancing service mesh and request routing at scale.
• Operational Excellence:A strong ownership mindset witha track recordofmaintainingmission-critical high-availability systems in production.

Preferred Qualifications

• AI/ML Domain Knowledge:Prior experience building infrastructure specifically for LLM inference or large-scale training clusters.

• Low-Level Optimization:Familiaritywithinference including mixed precisionkernel tuning or custom hardware accelerators.

• Public/Private Cloud:Experience managing hybrid-cloud or multi-AZdeployments across AWS Azure or GCP.

• Compliance:Experienceoperatingin regulated environments with strict security and compliance requirements.
  
  

Type of work model

• Hybrid

Details to consider

• Those eligible for employment protection (recipients of veterans 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. Experience:

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