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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing and optimizing cloud-native database platforms, particularly AWS Aurora PostgreSQL and MySQL, with a strong focus on performance tuning, high availability, and disaster recovery solutions. Proficient in automation and scripting to enhance database operations and support production environments effectively.
Highest-signal resume keywords
AWS Aurora PostgreSQL AdministrationMySQL Database ManagementDatabase Performance TuningHigh Availability SolutionsAutomation with Terraform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PostgreSQL AdministrationMySQL AdministrationDatabase Performance TuningQuery OptimizationDatabase Backup and RecoveryInfrastructure-as-CodeDatabase MonitoringData ModelingScripting (Python, Bash)High-Transaction Environment Experience
Soft Skills
Problem-SolvingCross-Functional CollaborationEffective CommunicationOwnership and AccountabilityProactive Improvement
Tools & Technologies
AWS RDSAWS EC2AWS CloudWatchDataDogTerraformCloudFormationAWS IAMAWS VPCAurora Storage ArchitectureDatabase-Native Tools
Industry Keywords
Cloud-Native Database PlatformsHigh-Volume OLTPDisaster Recovery SolutionsProduction SaaS EnvironmentDatabase Reliability
Tech Stack
Tools & technologiesAWSCloudEC2MySQLPostgresPythonTerraform
About the role
Key responsibilities & impact- Design, implement, optimize, and support Experity’s cloud-native database platforms, focusing on Aurora PostgreSQL and MySQL running on AWS RDS
- Deploy, configure, and manage PostgreSQL and MySQL databases in AWS RDS and Aurora environments
- Configure and manage MySQL parameter groups, option groups, automated backups, snapshots, and maintenance windows
- Architect and support high-availability solutions using clusters, read replicas, Multi-AZ deployments, writer/reader endpoint strategies, and read scaling
- Monitor and mitigate replication lag across replicas
- Tune database-specific parameters and optimize Aurora storage architecture, I/O patterns, autovacuum behavior, and checkpoint tuning
- Optimize database indexing, query execution plans, and MySQL InnoDB configuration for production workloads
- Monitor and troubleshoot database performance using AWS CloudWatch, DataDog, and database-native tools such as pg_stat_statements and 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, automated snapshots, and cross-region resilience
- Partner with engineering teams to improve schema design, query patterns, and database access efficiency
- Drive observability best practices across database environments, including alerting, logging, and performance metrics
- Optimize cloud database cost and performance, including instance sizing, storage utilization, and workload tuning
- Support 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
- Act as a technical leader in database reliability and performance, influence architecture decisions, mentor team members, and drive operational excellence across multiple database platforms
- Perform other duties as assigned
Requirements
What you’ll need- Bachelor’s degree in Computer Science or related field, or equivalent 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
- 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
