Database Support Engineer - APAC

At TigerData, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity.

We're looking for a versatile Database Support Engineer to join our Technical Services team. While deep database expertise is at the core of this role, you'll work across our entire technology stack — from PostgreSQL/TimescaleDB to Kubernetes, AWS/Azure cloud infrastructure, and more.

This isn’t just a database job. You’ll work at the intersection of databases, cloud infrastructure, and modern platform engineering. Every day brings different challenges — from optimising complex analytical queries to troubleshooting cloud, Kubernetes, and features built on top of the database that run through separate services. From network issues to using browser DevTools to trace API failures, you’ll help customers across the stack.

What You'll Do

Customer Success

• Provide technical support to customers experiencing database and platform issues
• Translate complex technical concepts into clear, actionable guidance
• Collaborate with customers to understand their use cases and optimise their implementations
• Deeply understand customer pain points and challenges to deliver solutions that truly address their needs
• Be a trusted advisor to customers and help them succeed
• Manage customer cases from beginning to end

Database Excellence

• Troubleshoot and optimise PostgreSQL and TimescaleDB performance issues
• Help implement database solutions, including TimescaleDB features like hypertables, compression strategies, and continuous aggregates
• Analyse complex query execution plans and resolve performance bottlenecks, including best practices, backup/restore, and migrations
• Write and review PL/pgSQL procedures for data operations
• Test new database features related to TimescaleDB or Agentic PostgreSQL to stay ahead of customers and proactively help them leverage new capabilities

Platform & Infrastructure

• Investigate issues across the full stack — from application layer to database internals
• Integrate and troubleshoot platform features

Internal Collaboration

• Support internal teams, including Solutions and Customer Delivery, with your extensive debugging knowledge across all product features
• Partner with Engineering teams to get to the bottom of complex issues and identify root causes
• Enable faster resolution of customer issues through cross-team knowledge sharing

Innovation & Growth

• Use AI to accelerate your work
• Contribute to platform improvements based on real-world customer needs
• Stay current with PostgreSQL, TimescaleDB, and cloud technology advancements
• Document to support team knowledge sharing

What We're Looking For

Must-Have Skills

• Strong PostgreSQL knowledge — Understand query optimisation, indexing strategies, execution plans, and database internals
• Proficiency in CLI — Comfortable working in the command-line
• SQL expertise — Complex queries, window functions, CTEs, and PL/pgSQL
• Performance analysis — Reading logs, metrics, and identifying bottlenecks
• Experience with TimescaleDB or other relational databases
• Background in customer-facing technical roles
• Curiosity or experience with AI in databases
• Ability to learn quickly across diverse technical domains
• Strong communication skills to explain technical concepts clearly

Nice-to-Have Skills

• Cloud platforms — Experience with AWS/Azure services and cloud architecture
• Kubernetes — Understanding of container orchestration, pods, services, and resource management
• Browser DevTools debugging — Using browser console, Network tab, and developer tools to diagnose frontend and API issues