Database CloudOps

Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.

7M+ app downloads. 2M+ monthly active users. 7000+ partner stores. US$350M+ raised from top-tier investors.

Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch.

If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us.

Southeast Asia's fintech moment starts here.

What you'll do:

• Support and administration of a high-load database (approximately 20,000 transactions per minute)

• Performing and maintaining zero-downtime database migrations (seamless migrations).

• Proactive identification and resolution of database-related issues and performance bottlenecks

• Collaboration with the development team to address tasks related to database architecture and query optimization

• Configuration and maintenance of database PostgreSQL infrastructure in AWS (RDS, Aurora), managed through Terraform

• Participation in database architecture optimization, performance tuning, bottleneck analysis, and proposing improvements

• Handling tasks related to incident and performance management; participation in new projects and services involving databases

• Active involvement in the development process: taking initiative to identify issues and propose tasks, not just handling incoming tickets
  

What makes you a strong fit:

• 3–5+ years of professional experience in software engineering or data engineering (depending on the role)

• Strong knowledge of PostgreSQL — query optimization, indexing strategies, replication, and performance troubleshooting

• Experience working with large-scale data systems, ETL pipelines, or distributed backend systems

• Solid understanding of SQL performance tuning, schema design, and transaction management

• Hands-on experience with Linux systems, monitoring tools, and automation scriptingFamiliarity with AWS services (Aurora, RDS, Redshift, kafka debezium connectors) and similar cloud environments

• Basic understanding of CI/CD pipelines, Git, and containerization (Docker, Kubernetes)