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SHEIN

Global fashion e-retailer with on-demand manufacturing

Senior Site Reliability Engineer 1

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, or a related technical discipline, or equivalent practical experience.
  • At least 3 years of experience owning and operating large-scale, high-traffic, 24/7 production systems, ideally in cloud or cloud-native environments.
  • Solid foundations in Linux, networking, and distributed systems, with the ability to debug complex production issues end to end.
  • Hands-on experience with incident response, troubleshooting, and performance optimization in distributed systems.
  • Experience applying AI- or large language model-powered tools to reliability engineering, including designing and building automation or internal tools using AI-assisted development tools such as Claude Code.
  • Strong software engineering skills, with experience building automation, tooling, or platforms in languages such as Python or Go.
  • Experience operating or supporting open-source infrastructure components such as APISIX, Nginx, Kubernetes, Kafka, Elasticsearch, Redis, Consul, Etcd, and Zookeeper.
  • Experience with observability and monitoring systems such as Prometheus, Grafana, and Zabbix, and performance analysis.
  • Familiarity with Git, continuous integration and continuous delivery pipelines, and configuration management tools such as Ansible.
  • Strong ownership and a systematic approach to problem-solving.
  • Ability to collaborate effectively with geographically distributed teams.

Responsibilities

  • Keep mission-critical production systems running 24/7/365, participate in on-call rotations, and act decisively during incidents.
  • Triage and resolve production incidents using AI-assisted log analysis and anomaly detection to accelerate root cause identification; drive continuous improvements that reduce mean time to recovery and prevent recurrence.
  • Monitor and manage capacity planning and resource utilization, partnering with cross-functional teams to ensure systems scale safely and cost-effectively.
  • Own and operate core open-source infrastructure, including APISIX, Nginx, Kubernetes, Kafka, Elasticsearch, Redis, Consul, Etcd, Zookeeper, and other large-scale distributed systems.
  • Design, build, and maintain observability solutions for metrics, logs, traces, and alerting, incorporating AI-powered anomaly detection and intelligent alert correlation to improve system visibility and resiliency.
  • Automate operational workflows and eliminate manual toil through scripting, tooling, and process improvements, including using AI-assisted development tools such as Claude Code to accelerate internal operational platform development.
  • Develop and maintain technical documentation, including runbooks, architecture diagrams, operational procedures, and on-call playbooks.
  • Work with global engineering teams to improve infrastructure reliability and performance through better system design and operational discipline.

Desired Qualifications

  • Bilingual fluency in Mandarin and English.
  • Kubernetes Administrator certification or equivalent real-world experience.
  • Experience operating big data platforms such as Hadoop, Yarn, HBase, Hive, and Spark.
  • Experience applying AI- or large language model-powered tools to reliability engineering, including designing and building automation or internal tools using AI-assisted development platforms such as Claude Code.

About the Company

SHEIN

Global fashion e-retailer with on-demand manufacturing

SHEIN is a global online fashion and lifestyle retailer that serves customers in more than 150 countries with affordable products. It operates through an on-demand manufacturing model that links suppliers to an agile supply chain, reducing inventory waste and enabling a wide range of items to be produced as orders come in. Customers shop via SHEIN’s online platforms, placing orders that are fulfilled through its network of suppliers and factories. This approach differs from many traditional retailers by relying on on-demand production and a data-driven, far-reaching supply chain to quickly respond to trends while keeping costs low. The company’s goal is to make fashion and lifestyle products accessible to people worldwide by connecting suppliers through its efficient, responsive system.

Company size
10,001+
Company stage
IPO
Headquarters
Singapore, Singapore
Founded
2010

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