In short
SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all.
PYTHONAZURE
📋 About the job
🏢About SHEIN
SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 160 countries. Founded in 2012, SHEIN has nearly 18,000 employees operating from offices around the world, with U.S. Headquarters located in Los Angeles.
In SHEIN, we work with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.
At SHEIN, our culture is driven by our core values: Customer First, Take Ownership, Deliver Results, Make Change, and Celebrate Diversity. These are not just words, they are the principles that guide our work as we strive to meet the needs of our customers around the world.
🏢Position Summary
We are looking for a Database Engineer with experience working in large-scale mission-critical environments with zero downtime for our San Diego-based corporate office. The SHEIN DBRE team is a mix of DBA/SRE/DBRE oriented folks whose overarching goal is to provide highly available data services at scale. They strive to build an extremely reliable, performant, and secure database infrastructure through the skillful use of automation.
This team is responsible for providing new architectures and scalability solutions to ever-growing business and data processing needs. Our ideal candidate has a strong understanding of database fundamentals and how the properties of different database systems interact with applications and operating systems. You will be working onsite on a distributed team, with access to multiple customer environments.
✅Job Responsibilities
✅Maintaining scalable, reliable, and robust production database environments.
✅Monitoring for problems and diagnosing and addressing those problems as needed.
✅Performance tuning, query optimization, and index tuning.
✅Building database tools and scripts to simplify, automate, to reduce operation toil.
✅Responsible for working with development teams and engineers to provide a database design guidance.
✅Handle Database upgrades and migrations, while monitoring and improving database performance.
✅Triage and solve database issues, drive incidents until resolution and employ measures to prevent recurrence.