Senior Software Engineer, Tiger Data

• English language fluency is required
• At least 2+ years of experience with Rust
• Have strong software engineering fundamentals and contributed to Open Source projects
• Have experience building SDKs, client libraries, developer tooling, APIs, or platforms used by other engineers
• Basic knowledge of statistical functions, e.g. last observation carried forward
• Understand database fundamentals including indexing, query execution, transactions, partitioning, and performance tradeoffs
• Enjoy working across product discovery and implementation rather than waiting for fully defined requirements
• Are naturally curious about how customers use your software and use that curiosity to influence what gets built
• Work effectively in a highly collaborative, globally distributed engineering organization

Desirable

• As a toolkit Engineer, you'll own one of the most important touchpoints developers have with TimescaleDB
• TimescaleDB toolkit provides an additive set of hyperfunctions enabling users to offload complex calculations into the database, transforming raw time-series data into production-ready insights
• You'll shape the roadmap, identify what should be built next, and deliver developer experiences that help engineers solve increasingly complex problems across industrial IoT, manufacturing, observability, financial markets, and beyond
• This isn't a feature factory role
• We're looking for an engineer who enjoys identifying patterns across customer problems, making thoughtful technical tradeoffs, and building developer tools that feel intuitive, reliable, and built to last
• We welcome candidates across time zones, and overlapping collaboration hours with a globally distributed engineering team are preferred rather than required
• Own the long-term evolution of the TimescaleDB toolkit, balancing customer needs, technical excellence, and product strategy
• Define and prioritize toolkit’s roadmap by identifying emerging customer needs across IoT, industrial systems, observability, financial markets, and other time-series applications
• Partner closely with Product, Sales, and customers to understand real-world workflows and translate those insights into intuitive developer experiences
• Improve reliability, testing, documentation, performance, and maintainability so new capabilities are production-ready from day one
• Maintain a healthy balance between shipping new functionality and improving long-term code quality