Senior Cloud Database Engineer (Aurora / GCP PostgreSQL)

We seek a Cloud Database Engineer with expertise in Amazon Auroraand GCP-hosted PostgreSQL to lead critical efforts in optimizing, scaling, and automating our cloud database infrastructure.


In this role, you will take ownership of high-scale, production-grade database environments - driving cost efficiency, performance, and operational excellence. You will collaborate closely with platform, infrastructure, and FinOps teams to ensure our cloud databases are secure, resilient, and cost-effective. You will also define best practices and automation standards through Infrastructure as Code (Terraform) and partner with the application team to implement the plans.

Key Responsibilities:

• Operate and optimize large-scale Aurora and GCP PostgreSQL databases across production and non-production environments.
• Identify cost-saving opportunities, reduce over-provisioning, and tune configurations for maximum efficiency.
• Develop and maintain Infrastructure as Code (Terraform) modules for repeatable and scalable database provisioning.
• Design and implement backup, HA/DR, upgrade, and maintenance strategies for mission-critical systems.
• Collaborate with engineering and FinOps teams to align provisioning and usage with business requirements.
• Provide guidance on schema design, query optimization, and observability for cloud-native PostgreSQL workloads.

Required Qualifications:

• 5+ years of experience as a DBA or Database Engineer in cloud-based environments.
• Deep hands-on experience with Amazon Aurora (PostgreSQL) and GCP Cloud SQL / for PostgreSQL.
• Strong proficiency in SQL performance tuning, query analysis, and database monitoring.
• Experience writing and maintaining Terraform code for database infrastructure.
• Solid understanding of backup/restore strategies, replication, and high availability in managed DB services.
• Strong scripting skills (Python, Bash, or equivalent) for automation and tooling.
• Experience in collecting, analyzing, and interpreting operational and cost data to identify inefficiencies and prioritize optimization efforts.
• Ability to use statistical and usage-based analysis to drive infrastructure decisions and focus engineering efforts where they deliver the most value.

Preferred Qualifications:

• Experience operating databases in large-scale, multi-region environments.
• Experience driving efficient and performance database solutions techniques for cloud databases.
• Exposure to Kubernetes-native database management or operators is a plus.
• Comfortable collaborating across engineering, SRE, and platform teams.