Observe is building an Observability Cloud that allows customers to bring all their machine data (logs, metrics, traces, etc.) together in one place. At the core of the service is our data management platform which enables our users to build sophisticated streaming pipelines and express complex temporal queries all without learning complex database concepts. The platform is built on top of a cloud data warehouse platform (Snowflake).

As a data platform engineer, your will work on making the platform perform better, adding new capabilities, and reducing its cost. Typical work involves:

- Compiling and optimizing user queries so that they can be executed more efficiently

- Support new query functions to make the platform more powerful and flexible

- Make streaming more cost-effective and reduce the end-to-end latency

The ideal candidate should be:

- Experience with relational database internals

- Experience with query optimization and stream processing is a strong plus

- Experience with Go is a plus but not required

- Self-motivated, fearless, likes to dive in the code and get stuff done

- Strong teamplayer who can work independently but cares about context and knows when to reach out