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Coupang — Mountain View, California
We exist to wow our customers. ” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations.
At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real.
We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are looking for a skilled and experienced Database Engineer with AI experience to join the Customer Success team at Coupang .
The Customer Success team obsesses over the success of development and application teams by deliver ing high-quality storage infrastructure . In this role, you will be responsible for developing tools and automation (scripts, AI) for reliable operations of Aurora MySQL, Aurora PostgreSQL, DocumentDB , DynamoDB , Cassandra, and TiDB databases in a high-traffic, mission-critical e-commerce environment . You will work closely with development teams and application teams to ensure database reliability, performance, and availability while driving operational excellence through automation and best practices.
At Coupang, we Aim High and Find a Way to solve impossible problems.
What You Will Do
AI Automation Generate AI Skills and Context prompts to automate storage engine and code and configuration generation across storage technologies. Database Operations Management Manage and operate large-scale Amazon Aurora MySQL and Aurora PostgreSQL clusters in production environments. Perform database maintenance tasks including version upgrades (minor/major), patching, and parameter tuning.
Execute Blue/Green Deployment (BGD) based upgrades and migrations with minimal downtime. Performance Optimization Monitor and analyze database performance using AWS CloudWatch, Performance Insights, and internal monitoring tools. Identify and resolve performance bottlenecks through query optimization, index tuning, and configuration adjustments.
Conduct capacity planning and provide recommendations for scaling strategies. Reliability Availability Ensure high availability and reliability of database services through proactive monitoring and incident response. Participate in on-call rotations and respond to database-related incidents in a timely manner.
Design and implement failover strategies and validate recovery procedures. Automation Tooling Develop and maintain automation scripts and tools (Python) for database operations, reducing manual intervention. Create and maintain Standard Operating Procedures (SOPs) for all database operations.
Contribute to internal tooling and operational frameworks. Collaboration Partner with application development teams to provide database architecture guidance and support. , SPIRE-based DB authentication).