L2 Level
5-8 years of experience as a Cloud Database Engineer, Database Administrator, or Platform Engineer supporting mission-critical production systems.
Proven experience managing AWS-managed database platforms in enterprise environments.
Strong hands-on expertise with:
1.AWS RDS for SQL Server, PostgreSQL, and MySQL administration
2.Amazon Aurora cluster management and operations
3.Database provisioning, configuration, patching, and upgrade management
4.Backup, recovery, point-in-time recovery (PITR), and disaster recovery testing
5.Multi-AZ deployments, read replicas, and high availability configurations
6.Database performance tuning, query optimization, and resource management
7.Capacity planning and storage optimization
8.CloudWatch, Performance Insights, and database monitoring solutions
9.Database encryption, IAM integration, access controls, and security best practices
10.Incident management, root cause analysis, and problem management activities
11.Change management, maintenance windows, and production release support
12.Automation and scripting using Shell, Python, or PowerShell
13.Experience troubleshooting database alerts, replication issues, failovers, backup failures, and performance bottlenecks.
Strong understanding of database lifecycle management and operational governance.
L3 Level
10+ years of experience as a Cloud Database Engineer, Senior DBA, Database Architect, or Platform SME supporting large-scale production environments.
Proven experience leading database operations for highly available, business-critical cloud platforms.
Expert-level hands-on expertise with:
1.AWS RDS for SQL Server, PostgreSQL, and MySQL at enterprise scale
2.Amazon Aurora architecture, optimization, and operational governance
3.Database platform design, lifecycle management, and operational standardization
4.Database migrations, upgrades, modernization, and transformation initiatives
5.High availability, disaster recovery, business continuity planning, and DR validation exercises
6.Advanced database performance tuning, workload analysis, and query optimization
7.Database capacity forecasting, cost optimization, and resource utilization planning
8.Database security architecture, encryption, IAM integration, audit controls, and compliance requirements
9.Monitoring strategy, observability, performance analytics, and operational dashboards
10.Infrastructure automation and database operations automation using scripting and cloud-native tools
11.Enterprise backup, recovery, retention, and data protection strategies
Incident command, root cause analysis, and problem management leadership
Deep expertise troubleshooting complex database performance, replication, failover, storage, and connectivity issues.
Responsibilities
L2 Level
5-8 years of experience as a Cloud Database Engineer, Database Administrator, or Platform Engineer supporting mission-critical production systems.
Proven experience managing AWS-managed database platforms in enterprise environments.
Strong hands-on expertise with:
1.AWS RDS for SQL Server, PostgreSQL, and MySQL administration
2.Amazon Aurora cluster management and operations
3.Database provisioning, configuration, patching, and upgrade management
4.Backup, recovery, point-in-time recovery (PITR), and disaster recovery testing
5.Multi-AZ deployments, read replicas,
and high availability configurations
6.Database performance tuning, query optimization, and resource management
7.Capacity planning and storage optimization
8.CloudWatch, Performance Insights, and database monitoring solutions
9.Database encryption, IAM integration, access controls, and security best practices
10.Incident management, root cause analysis, and problem management activities
11.Change management, maintenance windows, and production release support
12.Automation and scripting using Shell, Python, or PowerShell
13.Experience troubleshooting database alerts, replication issues, failovers, backup failures, and performance bottlenecks.
Robust understanding of database lifecycle management and operational governance.
L3 Level
10+ years of experience as a Cloud Database Engineer, Senior DBA, Database Architect, or Platform SME supporting large-scale production environments.
Proven experience leading database operations for highly available, business-critical cloud platforms.
Expert-level hands-on expertise with:
1.AWS RDS for SQL Server, PostgreSQL, and MySQL at enterprise scale
2.Amazon Aurora architecture, optimization, and operational governance
3.Database platform design, lifecycle management, and operational standardization
4.Database migrations, upgrades, modernization, and transformation initiatives
5.High availability, disaster recovery, business continuity planning, and DR validation exercises
6.Advanced database performance tuning, workload analysis, and query optimization
7.Database capacity forecasting, cost optimization, and resource utilization planning
8.Database security architecture, encryption, IAM integration, audit controls, and compliance requirements
9.Monitoring strategy, observability, performance analytics, and operational dashboards
10.Infrastructure automation and database operations automation using scripting and cloud-native tools
11.Enterprise backup, recovery, retention, and data protection strategies
Incident command, root cause analysis, and problem management leadership
Deep expertise troubleshooting complex database performance, replication, failover, storage, and connectivity issues.
Qualifications
L2 Level
5-8 years of experience as a Cloud Database Engineer, Database Administrator, or Platform Engineer supporting mission-critical production systems.
Proven experience managing AWS-managed database platforms in enterprise environments.
Strong hands-on expertise with:
1.AWS RDS for SQL Server, PostgreSQL, and MySQL administration
2.Amazon Aurora cluster management and operations
3.Database provisioning, configuration, patching, and upgrade management
4.Backup, recovery, point-in-time recovery (PITR), and disaster recovery testing
5.Multi-AZ deployments, read replicas, and high availability configurations
6.Database performance tuning, query optimization, and resource management
7.Capacity planning and storage optimization
8.CloudWatch, Performance Insights, and database monitoring solutions
9.Database encryption, IAM integration, access controls, and security best practices
10.Incident management, root cause analysis, and problem management activities
11.Change management, maintenance windows, and production release support
12.Automation and scripting using Shell, Python, or PowerShell
13.Experience troubleshooting database alerts, replication issues, failovers, backup failures, and performance bottlenecks.
Strong understanding of database lifecycle management and operational governance.
L3 Level
10+ years of experience as a Cloud Database Engineer, Senior DBA, Database Architect, or Platform SME supporting large-scale production environments.
Proven experience leading database operations for highly available, business-critical cloud platforms.
Expert-level hands-on expertise with:
1.AWS RDS for SQL Server, PostgreSQL, and MySQL at enterprise scale
2.Amazon Aurora architecture, optimization, and operational governance
3.Database platform design, lifecycle management, and operational standardization
4.Database migrations, upgrades, modernization, and transformation initiatives
5.High availability, disaster recovery, business continuity planning, and DR validation exercises
6.Advanced database performance tuning, workload analysis, and query optimization
7.Database capacity forecasting, cost optimization, and resource utilization planning
8.Database security architecture, encryption, IAM integration, audit controls, and compliance requirements
9.Monitoring strategy, observability, performance analytics, and operational dashboards
10.Infrastructure automation and database operations automation using scripting and cloud-native tools
11.Enterprise backup, recovery, retention, and data protection strategies
Incident command, root cause analysis, and problem management leadership
Deep expertise troubleshooting complex database performance, replication, failover, storage, and connectivity issues.
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