Staff Database Engineer (Customer Success)

Position 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 delivering 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. Opportunity to manage large-scale databases on one of the largest e-commerce platforms. Exposure to cutting-edge AWS database technologies and cloud-native architectures. A collaborative and diverse team environment with global colleagues. Continuous learning and professional development opportunities. [Key Responsibilities] 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. Collaborate with infrastructure and security teams on database-related projects (e.g., SPIRE-based DB authentication). Participate in change management processes and conduct thorough reviews of database changes. [Required Qualifications] Experience : 10+ years of hands-on experience as a Database Engineer. AI Automation: 2+ years of creating AI Automation for your own or company workflows, storage, or code. Aurora / RDS : 5+ years of experience managing Amazon Aurora MySQL and/or Aurora PostgreSQL in production environments. MySQL : Strong expertise in MySQL 8.0+ including replication, InnoDB internals, query optimization, and troubleshooting. PostgreSQL : Working knowledge of PostgreSQL including extensions, vacuuming, and major version upgrade procedures. AWS : Proficiency with AWS database services (Aurora, RDS) and related services (CloudWatch, IAM, VPC, Parameter Groups). Scripting : Proficiency in Python or similar scripting languages for automation. Operations : Experience with database operations in large-scale, high-traffic environments (10,000+ TPS). [Preferred Qualifications] Ability to communicate effectively in English (written and verbal) in a multinational team environment. Experience with Blue/Green Deployment for database version upgrades. Experience with database migration strategies (Logical Replication, snapshot-based migration). Knowledge of database security best practices including authentication, encryption, and access control. Experience with Infrastructure as Code (Terraform, CloudFormation). Experience with monitoring and alerting tools (Grafana, Prometheus). Experience with CI/CD pipelines and GitOps workflows. Experience operating databases at scale in e-commerce or similar high-traffic industries. Experience operating NoSQL databases (DocumentDB, DynamoDB, MongoDB). Experience in NewSQL (TiDB, AWS DSQL, Spanner)