Remote Senior PostgreSQL Reliability Engineer

YO AI Labs; San Jose (CA); Remote; USD 140,000 - 190,000; Full time

Job summary

YO AI Labs is seeking a Senior Database Reliability Engineer to architect, optimize, and maintain highly available PostgreSQL environments in a remote-capable role. You will ensure reliability, performance, and scalability across cloud-based database systems.

The role focuses on designing HA PostgreSQL architectures with AWS RDS/Aurora, optimizing performance, backups, replication, and failover, while driving automation and data migrations.

Qualifications

• Strong production PostgreSQL experience
• Deep knowledge of PostgreSQL internals, tuning, indexing, partitions, replication
• Experience with large-scale, high-traffic databases
• Familiarity with Terraform, CI/CD, and cloud-native environments
• Experience with data platforms, ETL, analytics workloads and monitoring tools
• Excellent analytical and troubleshooting skills

Responsibilities

• Design and manage highly available PostgreSQL architectures using AWS RDS and Aurora
• Optimize queries, indexes, partitioning, and database performance
• Manage backup, replication, recovery, and failover processes
• Troubleshoot slow queries, locks, deadlocks, and database bottlenecks
• Automate database maintenance and reliability workflows
• Support data migrations, application scaling, and operational improvements
• Maintain clear technical documentation

Skills

PostgreSQL

AWS RDS & Aurora PostgreSQL

High-Availability Architecture

Large-Scale Databases

Database Performance Optimization

Backup & Disaster Recovery

Replication & Failover

Tools

Terraform

CI/CD

Monitoring tools

Job description

YO AI Labs is seeking a Senior Database Reliability Engineer to architect, optimize, and maintain highly available PostgreSQL environments in a remote-capable role. You will ensure reliability, performance, and scalability across cloud-based database systems.

The role focuses on designing HA PostgreSQL architectures with AWS RDS/Aurora, optimizing performance, backups, replication, and failover, while driving automation and data migrations.