Site Reliability Engineer

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 looking for an experienced Site Reliability Engineer (Official name Site Reliability Engineer I) to join our Site Reliability Engineering team. Site Reliability Engineers at SHEIN are hybrid software/systems engineers whose overarching goal is to ensure that production services are “always on.” They strive to build the most reliable and performant systems on the planet.

SREs work closely with cross-functional teams to ensure we have the right set of tools to generate, collect, analyze, visualize and alert on operational data; knowing exactly what happens across the ecosystem, identifying problems before they occur and addressing them as quickly as possible.

They are also responsible for improving operational efficiency, utilization and system resiliency of the platform. They own critical open-source software that our platform relies on and they are core participants in every significant engineering effort underway in the platform.

Additionally, SRE’s are tasked with driving forward the operability of the platform to reduce the number of incidents while reducing MTTR. To accomplish this, the team combines software development, networking and systems engineering expertise along with a desire to be challenged by issues of scale and complexity to make our service better for our customers.

Job Responsibilities

• Participate in an on-call rotation to ensure 24/7/365 availability of SHEIN's production system.


• Supervise capacity & utilization and work closely with cross-functional teams to orchestrate scale up/down of the services.


• Own and operate critical open-source services like Elasticsearch, Kafka, RabbitMQ, Redis.


• Build tools and design processes that help improve observability and system resiliency of the platform.


• Triage site availability Incidents and proactively work towards reducing MTTR for customer impacting incidents.


• Partner with service owners to implement service level metrics and service level objectives that act as service level health indicators.


• Establish design patterns for monitoring, benchmarking and deploying new features for the backend services.


• Develop and maintain technical documentation, network diagrams, runbooks, and procedures.


• Drive initiatives to evolve our current platform to increase efficiency and keep it in line with current standards and best practices.


• Respond to production incidents leverage experience in software development, systems engineering, and networking to proactively prevent recurring issues.


• Provide relief and sustainable resolution to issues within our infrastructure.


• Drive initiatives with partner teams to improve the reliability and performance of the infrastructure through improved system design.


• Join a culture of intolerance to manual activity which results in a highly automated environment delivering scalable solutions.


• Drive efficiencies through software improvement and root cause analysis resulting in service delivery, maturity, and scalability.

Job Requirements

• Bachelor's degree in Computer Science or Information Systems or equivalent technical discipline.


• 3+ years of working experience in an enterprise 24/7 production environment supporting mission-critical, real-time, high-traffic applications, especially in cloud environments.


• Systematic problem-solving approach, combined with a sense of ownership and drive.


• Full-stack debugging and performance optimization ability, including knowledge of Cloud systems (load balancing, caching, content distribution, etc.), continuous integration/build systems, Java, SQL and NoSQL databases.


• Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability.


• Strong experience with observability tools such as Grafana, Prometheus, Zabbix, etc.


• Experience in any of the scripting/programming languages such as Python, GoLang, etc.


• Familiar with container technology, such as Docker, Kubernetes, Mesos, etc.


• Strong verbal and written communication skills; able to work effectively with geographically remote teams.


• Experience with one or more OSS technologies like Elasticsearch, Kafka and Redis.


• Proficient with SRE concepts and practices, including being an advocate for the elimination of toil and drive simple solutions.

Nice to Have

• Experience with big data related component operation and maintenance experience (Hadoop/Yarn/Hbase/Hive/Spark, etc.)


• Solid understanding of Linux system.

Benefits and Perks

• Bonus and RSU 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)


• Employee Assistance Program


• Business Travel Accident Insurance


• 401(k) Savings Plan with discretionary company match and access to a financial advisor


• Vacation, paid holidays, floating holiday and sick days


• Employee discounts


• Free weekly catered lunch


• Dog-friendly office (available at select locations)


• Free gym access (available at select locations)


• Free swag giveaways


• Annual Holiday Party


• Invitations to pop-ups and other company events


• Complimentary daily office snacks and beverages

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Pay Range

$101,400 - $148,700 USD