Database Platform Lead (PostgreSQL / AWS / Oracle)

TL;DR

Database Platform Lead (PostgreSQL / AWS / Oracle): Stabilizing and scaling a high-load transactional database landscape with an accent on defining standards, building observability, and preparing for AI-driven services. Focus on designing HA/DR architectures, enabling self-service automation, and ensuring 99.95%+ availability.

Location: On-site in Belgrade

Company

hirify.global is a global fintech powerhouse operating proprietary payments infrastructure across 17 offices with over 700 experts.

What you will do

• Own the end-to-end database platform (PostgreSQL, Oracle, AWS, DocumentDB, MongoDB).
• Assess current database landscape, identify bottlenecks, and drive improvements.
• Design and maintain HA/DR architectures with clear RPO/RTO and PITR strategies.
• Build and standardize monitoring, alerting, and performance visibility.
• Enable self-service, automation, and GitOps-driven database operations.
• Define security and governance standards, reducing operational overhead through automation and AI-assisted tooling.

Requirements

• 5+ years of experience in database engineering or administration, including leadership.
• Strong hands-on expertise in PostgreSQL (replication, partitioning, performance tuning, PgBouncer/RDS Proxy, vacuum, pgvector).
• Solid experience with Oracle (backup/restore, AWR/ASH, Data Guard or equivalents).
• Production experience with AWS data services (Aurora, RDS, DocumentDB, MongoDB).
• Proven HA/DR and PITR implementation experience.
• Experience operating high-load, transactional systems.
• Strong understanding of database security and governance.
• Experience with Infrastructure as Code and automation (Terraform, GitOps).

Nice to have

• Multi-region or global database topologies (Aurora Global, cross-region replication).
• CDC and migration tooling (AWS DMS, Debezium).
• Cost optimization and capacity planning experience.
• Experience integrating database observability into AIOps or ChatOps workflows.

Culture & Benefits

• Equal opportunity employer committed to diversity.
• Recruiting decisions based on experience and skills.
• Uses AI tools to support hiring, but human judgment makes final decisions.