Senior Cloud Database Engineer

Description

At Toku, we create bespoke cloud communications and customer engagement solutions to reimagine customer experiences for enterprises. We provide an end-to-end approach to help businesses overcome the complexity of digital transformation and deliver mission-critical CX through cloud communication solutions. Toku combines local strategic consulting expertise, bespoke technology, regional in-country infrastructure, connectivity, and global reach to serve the diverse needs of enterprises operating at scale.

Headquartered in Singapore, Toku supports customers across APAC and beyond, with a growing footprint across global markets. As a publicly listed company, Toku continues to scale its presence and impact across international markets.

This is a senior, hands-on cloud database engineering role focused on improving the reliability, scalability and operational excellence of Toku’s production database platform. Working closely with our Lead Database Engineer, you will own production operations, solve complex incidents, automate repetitive database workflows, and help modernise how engineering and database teams collaborate. Rather than simply administering databases, you’ll improve the systems, processes and tooling that keep our platform running at scale. You will thrive in this role if you enjoy taking ownership, solving complex operational challenges, and continuously finding better ways of working.

Requirements

What you will be doing

• Production Database Operations: Own the day-to-day operation, health, availability and continuous improvement of Toku’s production MySQL databases running on AWS RDS, ensuring reliability across our global SaaS platform.

• Incident Management & Operational Ownership: Take ownership of production incidents, perform troubleshooting and root cause analysis, restore service quickly, and drive permanent improvements that reduce repeat operational issues.

• Automation & Process Improvement: Identify repetitive operational work, evaluate where automation delivers the greatest value, and build scalable workflows and tooling that reduce manual effort, operational risk and engineering overhead.

• Database Workflow Engineering: Improve how database changes, production data fixes and operational requests are managed by introducing safer, more auditable and scalable engineering processes.

• Engineering Collaboration: Partner closely with software engineers to understand application behaviour, investigate production issues, interpret logs, and improve the interaction between engineering and database operations.

• Database Performance & Optimisation: Monitor and optimise database performance through query tuning, indexing strategies, capacity planning and proactive performance analysis.

• AWS Database Engineering: Manage and continuously improve AWS database services, with a strong focus on Amazon RDS while supporting Toku’s ongoing evolution towards Amazon Aurora.

• Monitoring & Observability: Utilise monitoring platforms such as Datadog and AWS Performance Insights to identify trends, troubleshoot production issues, and improve operational visibility.

• Security, Compliance & Governance: Apply secure database practices, improve operational governance, support audit readiness, and help reduce operational risks associated with production database management.

• High Availability & Disaster Recovery: Support and continuously improve high availability and disaster recovery capabilities while leveraging modern AWS managed database services.

• Continuous Improv…