Design and implement an 'eagle-eye' view across all database instances, providing real-time visibility into availability, security posture, reliability metrics, and latency
Job Summary
Design and implement an 'eagle-eye' view across all database instances, providing real-time visibility into availability, security posture, reliability metrics, and latency.
Develop AI-powered automation that handles routine DBA tasks — performance tuning, capacity planning, schema review, incident triage, and remediation.
Create tooling that enables product engineering teams to provision, configure, scale, and manage Postgres and Redis instances through self-service workflows.
Matching Summary
Design and implement an 'eagle-eye' view across all database instances, providing real-time visibility into availability, security posture, reliability metrics, and latency.
Skills & Requirements
Must-have
Python, Go, Java, or Kotlin proficiency
PostgreSQL performance tuning
Redis operational management
GCP infrastructure-as-code
Kubernetes and Docker experience
Building automation and tooling
Nice-to-have
Google CloudSQL and Memorystore experience
Internal developer platforms
AI/ML technologies integration
Fintech industry experience
Key Requirements
5+ years of professional software engineering experience