Description
About SHEIN
SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.
Position Summary
We are seeking a Senior Site Reliability Engineer (Official Title: Senior Site Reliability Engineer I) with deep experience operating and evolving large-scale, mission-critical systems where availability and reliability are non-negotiable. At SHEIN, Site Reliability Engineers are hybrid software and systems engineers responsible for keeping production services always on while enabling the platform to scale rapidly and safely. In this role, you will own and support complex services and infrastructure, ensuring they consistently meet reliability and performance expectations. The SRE team owns and maintains critical open-source and in-house technologies that underpin the platform and serves as a core contributor to major engineering initiatives. We are accountable for driving platform operability forward by reducing incident frequency, minimizing MTTR, and improving system resilience, efficiency, and resource utilization. You will work closely with global, cross-functional teams to design, build, and evolve observability and operational tooling—including metrics, logs, traces, alerting, and automation—providing deep visibility into system behavior. Through hands-on engineering and operational excellence, you will proactively identify risks and failure modes, help prevent incidents before they occur, and lead fast, effective responses when they do. To succeed in this role, you will combine strong software engineering skills, solid to deep expertise in Linux, networking, and distributed systems, and a passion for solving problems of scale, complexity, and reliability. Your work will directly contribute to delivering a stable, scalable, and high-performing experience for customers worldwide.
Job Responsibilities
- Keep SHEIN’s mission-critical production systems running 24/7/365, participating in on-call rotations and acting decisively during incidents.
- Triage and resolve production incidents, leveraging AI-assisted log analysis and anomaly detection to accelerate root cause identification; drive continuous improvements that reduce MTTR and prevent recurrence.
- Monitor and manage capacity planning and resource utilization, partnering with cross-functional teams to ensure systems scale safely while remaining cost-effective.
- Own and operate core open-source infrastructure such as APISIX, Nginx, Kubernetes, Kafka, Elasticsearch, Redis, Consul, Etcd, Zookeeper and other large-scale distributed systems.
- Design, build, and maintain observability solutions (metrics, logs, traces, alerting), incorporating AI-powered anomaly detection and intelligent alert correlation to surface actionable signals from high-volume telemetry, improving system visibility and resiliency.
- Automate operational workflows and eliminate manual toil through scripting, tooling, and process improvements, including the use of AI-assisted development tools (e.g., Claude Code) to accelerate the building and iteration of internal operational platforms.
- Develop and maintain technical documentation, including runbooks, architecture diagrams, operational procedures, and on-call playbooks.
- Work closely with global engineering teams to improve infrastructure reliability and performance through better system design and operational discipline.
Job Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline, or equivalent practical experience.
- 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/LLM-powered tools to reliability engineering, including designing and building automation or internal tools using AI-assisted development tools (e.g., 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, Zookeeper, etc.
- Experience with observability and monitoring systems (Prometheus, Grafana, Zabbix, etc.) and performance analysis.
- Familiarity with Git, CI/CD pipelines, and configuration management tools (e.g., Ansible).
- A strong sense of ownership, a systematic approach to problem-solving, and a passion for making systems more reliable.
- Strong communication skills and the ability to collaborate effectively with geographically distributed teams.
Nice to Have
- Bilingual fluency in Mandarin and English.
- Kubernetes Administrator certification or equivalent real-world experience.
- Experience operating big data platforms (Hadoop, Yarn, HBase, Hive, Spark).
- Experience applying AI/LLM-powered tools to reliability engineering, including designing and building automation or internal tools using AI-assisted development platforms (e.g., Claude Code).
Benefits and Perks
- Bonus eligible
- Healthcare (medical, dental, vision, prescription drugs)
- Health Savings Account with Employer Funding
- Flexible Spending Accounts (Healthcare and Dependent care)
- Company-Paid Basic Life/AD&D insurance
- Company-Paid Short-Term and Long-Term Disability
- Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident)
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