Senior Software Engineer - Database

The role

You will design and build platforms, automation, and AI-driven tooling for database infrastructure. You will work across PostgreSQL, Google CloudSQL, Redis, Google Memorystore, and GCP to improve availability, performance, security, and scalability.

What you will do

• Build a unified database observability platform.
• Design secure MCP interfaces for AI agents to interact with production databases.
• Develop an agentic AI DBA to automate performance tuning, capacity planning, schema review, incident triage, and remediation.
• Create self-service workflows for provisioning, configuring, scaling, and managing PostgreSQL and Redis instances.
• Establish database reliability practices including connection pooling, query optimization, backup and recovery, failover, and change management.
• Participate in on-call rotations for database incidents.
• Partner with product engineers to diagnose performance issues, review schema designs, and improve data modelling and access patterns.

Required qualifications

• 5+ years of professional software engineering experience.
• Strong proficiency in a backend language such as Python, Go, Java, or Kotlin.
• Deep experience with PostgreSQL, including performance tuning, query optimization, replication, backup and recovery, schema design, and operational best practices.
• Experience with Redis, including data modelling, clustering, persistence strategies, and operational management.
• Hands-on experience with GCP or an equivalent cloud provider, infrastructure as code such as Terraform, Kubernetes, and Docker.
• A track record of building automation, tooling, or platforms that replace manual operational work and make database operations scalable.
• Strong system design skills to architect reliable and scalable infrastructure services.

Nice to have

• Experience with Google CloudSQL and/or Google Memorystore.
• Experience building internal developer platforms, database-as-a-service systems, or self-service infrastructure tooling.
• Experience with AI/ML technologies, LLM integration, or AI-powered automation.
• Familiarity with MCP or similar patterns for safe programmatic access to production systems.
• Experience with observability tools such as Grafana, Prometheus, or Datadog.
• Experience in fintech, payments, or another regulated industry.

About the company

Airwallex is an AI-native financial operating system for a real-time, intelligent economy. The company provides infrastructure for global commerce and is co-headquartered in San Francisco and Singapore.