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Coupang Fulfillment Services · 2 months ago

Sr. Staff Site Reliability Engineer

Seattle, USA

Full-time

Onsite

Senior Level, Lead/Staff

$176K/yr - $221K/yr

8+ years exp

Coupang is a leading e-commerce company seeking a Senior Staff Site Reliability Engineer to join their Site Reliability Engineering team. The role is crucial for ensuring the health, monitoring, and scalability of customer-facing services while collaborating closely with product development teams to maintain high reliability standards.

DeliveryLogisticsWarehousing

Responsibilities

Serve as a primary point responsible for the platform reliability, health, and performance of all Coupang customer-facing services

Gain deep knowledge of Coupang application workflow and dependencies

Define and track key performance indicators (KPIs) and service-level objectives (SLOs) related to system availability, performance, and reliability

Build world class incident management process and automation, including fast incident remediation, incident operational reviews and retrospectives

Develop and implement best practices for creating , Scaling and maintaining effective monitoring, alerting, and telemetry systems

Build automation to execute regular Disaster Recovery testing, Chaos testing and load testing to stay ahead of expected growth of Coupang services

Work closely with product development teams to ensure the products are designed with scale and operability in mind

Build right guardrails and automation for deploying production changes holding the reliability bar

Participate in a 24x7 rotation for production issue escalations, functions well in a fast-paced environment

Communicate effectively with people at all levels of the organization

Qualification

Large scale distributed systemsCloud infrastructureSLO/SLA managementProgramming skillsDevOps practicesContainerization technologiesMonitoring toolsCommunication skillsProblem-solving skillsCollaboration skills

Required

Bachelor's degree in computer science, Engineering, or a related technical field

8+ years of industry experience building and operating large scale distributed systems

Preferred

Prior experience working with AI/ML, large scale web-based Java architectures and JVM configuration

Professional certifications in cloud platforms, monitoring tools, or related technologies

Previous experience working on a large-scale GPU/Cloud Infrastructure platforms

SLO/SLA management and implementation experience

Deep UNIX/Linux systems knowledge and administration background

Demonstrated programming skills in one or more of: Python, Java, Golang, Ruby

Strong problem-solving and analytical skills spanning systems, network (TCP/IP) and code, with a focus on data-driven decision-making

Experience with cloud-based GPU infrastructure, including AWS, Azure, or Google Cloud Platform

Strong understanding of DevOps and SRE practices, including continuous integration, continuous delivery, and infrastructure as code (IaC)

Experience with containerization and orchestration technologies, such as Docker and Kubernetes

Excellent communication and collaboration skills, with the ability to work with teams across distinct functions and technical domains

Knowledge of open telemetry observability ecosystem including metrics, logging, tracing and tools, such as Prometheus, Grafana, Elastic Stack, Datadog, or New Relic