Senior Database Reliability Engineer (AI)

Location: Singapore

Company

hirify.global Technologies develops and operates sustainable AI infrastructure across Asia Pacific, including the hirify.global AI Cloud GPU platform and AI Factory infrastructure.

What you will do

• Own and evolve database architecture standards for relational, document, NoSQL, and cache workloads across bare-metal, self-hosted, and cloud infrastructure.
• Automate database provisioning, configuration, upgrades, backups, restores, failover, and decommissioning with infrastructure as code.
• Define RPO, RTO, SLO, high availability, failover, replication, sharding, partitioning, tenant isolation, and multi-site standards.
• Resolve production issues involving query performance, lock contention, replication lag, memory and storage pressure, and network bottlenecks.
• Own database security, access control, encryption, audit logging, change control, and compliance evidence for SOC 2 Type 2 and ISO 27001.
• Partner with software, platform, data engineering, and observability teams on schema design, migrations, CDC, telemetry, and customer escalations.

Requirements

• 7+ years of database reliability engineering experience, including at least 3 years owning PostgreSQL in large-scale production.
• Deep PostgreSQL troubleshooting experience covering planner behavior, locking, bloat, connection storms, replication, failover, backup, restore, and query tuning.
• Hands-on experience with PostgreSQL HA and backup tools such as Patroni-style HA, pgBackRest or WAL-G, and pgBouncer or a similar pooler.
• Production ownership of Redis or Memcached and at least one document or NoSQL database such as MongoDB, Cassandra, or DynamoDB.
• Infrastructure-as-code automation with Python or Go; understanding of Linux storage and networking plus database monitoring with Prometheus, Grafana, OpenTelemetry, or similar tools.
• Clear written and verbal communication in English, willingness to join the database on-call rotation, and occasional overseas travel are required.

Nice to have

• Experience operating stateful databases on Kubernetes and using database operators.

Culture & Benefits

• Full-time role within the Engineering and Technology team.
• Work on sustainable, energy-efficient AI infrastructure and GPU cloud services.
• Participate in incident response, post-mortems, design reviews, and reliability improvement initiatives.
• Inclusive workplace that encourages applications from candidates of all backgrounds.