
51 - 200 employees
Founded 2015
âď¸ SaaS
đ¤ Artificial Intelligence
Database ⢠SaaS ⢠Artificial Intelligence
TigerData is the creator of TimescaleDB, offering a reliable PostgreSQL cloud service designed for high-performance workloads, particularly in time series and real-time analytics. With a focus on security and scalability, TigerData supports demanding applications across various industries by providing lightning-fast data ingestion, complex querying, and efficient management of large datasets. Their services are suitable for customer-facing applications and are used by leading companies in sectors like IoT, AI, and finance.
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51 - 200 employees
Founded 2015
âď¸ SaaS
đ¤ Artificial Intelligence
Database ⢠SaaS ⢠Artificial Intelligence
TigerData is the creator of TimescaleDB, offering a reliable PostgreSQL cloud service designed for high-performance workloads, particularly in time series and real-time analytics. With a focus on security and scalability, TigerData supports demanding applications across various industries by providing lightning-fast data ingestion, complex querying, and efficient management of large datasets. Their services are suitable for customer-facing applications and are used by leading companies in sectors like IoT, AI, and finance.
⢠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.
⢠Foundational software engineering experience (roughly 1-3 years, including internships or substantial projects), ideally with exposure to backend services, developer platforms, or infrastructure tools. ⢠Working knowledge of Go or TypeScript, or a track record of picking up new languages quickly. ⢠Comfort with Linux fundamentals: the shell, SSH, services, containers, and basic networking. ⢠An interest in working across multiple layers of a system, from backend services to user-facing tooling. ⢠Familiarity and growing proficiency with AI coding tools. ⢠Basic knowledge of PostgreSQL, distributed systems, or deployment automation is a strong plus. ⢠Experience working in collaborative environments with other technical contributors.
⢠Flexible PTO and comprehensive family leave ⢠Fridays off in August đ ⢠Fully remote opportunities globally ⢠Stock options for long-term growth ⢠Monthly WiFi stipend ⢠Professional development and educational resources đ ⢠Premium insurance options for you and your family (US-based employees)
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