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Salary
≈ $123k – $238k per year (Estimated)
Location
In office (New York)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 27, 2026.

Overview
Company
Impact
Profile match
YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.

Senior Database Reliability Engineer

Role Type: Full-time

Location: Remote

About the Role

We are looking for an experienced Database Reliability Engineer to architect, optimize, and maintain highly available PostgreSQL environments. You'll ensure reliability, performance, and scalability across large-scale, cloud-based database systems.

Key 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.

Required Skills

  • PostgreSQL
  • AWS RDS & Aurora PostgreSQL
  • High-Availability Architecture
  • Large-Scale Databases
  • Database Performance Optimization
  • Backup & Disaster Recovery
  • Replication & Failover

Preferred Qualifications

  • 5+ years of production PostgreSQL experience.
  • Strong knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.
  • Experience managing large-scale, high-traffic databases.
  • Familiarity with Terraform, CI/CD, and cloud-native environments.
  • Experience with data platforms, ETL, analytics workloads, and monitoring tools.
  • Strong analytical, communication, and troubleshooting skills.
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