Monitor and troubleshoot database performance using AWS CloudWatch, DataDog, and Database-native tools (e.g., pg_stat_statements, EXPLAIN).
Analyze and optimize query performance, indexing strategies, and resource utilization.
Investigate and resolve complex production issues, including locking, blocking, replication lag, and connection saturation.
Implement and manage backup and recovery strategies including point-in-time recovery (PITR), automated snapshots, and cross-region resilience.
Partner with engineering teams to improve schema design, query patterns, and database access efficiency.
Drive observability best practices, including alerting, logging, and performance metrics across database environments.
Optimize cloud database cost and performance, including instance sizing, storage utilization, and workload tuning.
Support and contribute to database migrations and modernization efforts.
Automate database provisioning and operations using Infrastructure-as-Code and scripting.
Participate in incident response, root cause analysis, and continuous improvement processes.
Support MySQL version upgrades, patching, and database migrations with minimal downtime.
Other duties as assigned.
Education
Bachelor’s degree in Computer Science or related field, or equivalent experience.
Experience
Minimum 5 years of database administration experience, with 3+ years focused on PostgreSQL in high-volume OLTP production environments.
2+ years administering MySQL in production, preferably on AWS RDS.
Strong hands-on experience with AWS Aurora PostgreSQL and AWS RDS MySQL.
Deep understanding of PostgreSQL internals, including query planner, indexing, vacuuming, WAL, and replication.
Strong understanding of MySQL architecture, including InnoDB storage engine, replication, indexing, and query optimization.
Proven expertise in database performance tuning and troubleshooting in high-availability, high-throughput environments.
Experience supporting systems with significant transaction volume (e.g., 100–200+ TPS) and scaling for continued growth.
Experience troubleshooting contention scenarios, including locking, blocking, connection saturation, and long-running transactions.
Experience with AWS services including RDS, Aurora, EC2, IAM, VPC, CloudWatch, and S3.
Experience with monitoring and observability platforms such as DataDog and CloudWatch.
Experience designing and supporting High Availability and Disaster Recovery solutions.
Strong understanding of relational database design and data modeling.
Experience with automation (Terraform, CloudFormation, or similar) and scripting (Python, Bash, etc.).
Experience operating in a production SaaS or high-transaction environment.
Team Member Competencies
Demonstrates ownership and accountability for production systems.
Strong problem-solving skills with a proactive approach to identifying and resolving issues.
Ability to work cross-functionally with engineering and operations teams.
Communicates clearly and effectively in both technical and non-technical contexts.
Continuously seeks to improve processes, performance, and reliability.
Equal Opportunity Employer
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