About Tiger Data
At Tiger Data, 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.
The Role
As a Software Engineer for TimescaleDB Enterprise, you’ll help build and support our on-prem enterprise platform: a solution that enables customers to deploy, manage, secure, and operate TimescaleDB in their own environments. This is a high-growth role for a builder who wants to help develop both the product and technical foundations of an evolving enterprise offering. You’ll work across the full stack of the experience, including operational tooling and deployment systems, helping us turn complex enterprise requirements into pragmatic, scalable solutions.
Responsibilities
- Learning from and contributing to the design and development of TimescaleDB Enterprise, our on-prem deployment and management platform.
- Developing core product capabilities under guidance, including:
- management consoles and user-facing tooling (React + TypeScript)
- backend APIs and services (Go)
- deployment workflows and configuration management (Ansible)
- operational tooling for production PostgreSQL databases
- and customer administration experiences.
- Writing tests at every level, from unit tests to automated end-to-end testing against real infrastructure.
- Gaining experience in technical decisions across the product lifecycle, balancing speed, maintainability, and customer experience.
- Working with senior engineers to understand operational requirements and translate them into pragmatic product solutions.
- Implementing new features while learning to improve reliability, usability, and operational simplicity.
- Collaborating with Platform Engineering and cross-functional stakeholders across Product, Support, and Sales Engineering.
- Supporting the implementation of the long-term product and technical direction of the Enterprise platform.
- Learning to operate effectively in ambiguous environments where priorities evolve and engineers are expected to drive clarity.
- Leveraging AI tools daily to accelerate development, debugging, and product iteration workflows.