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).
A very important piece of the data platform is our query optimizer, which
turns queries written in our proprietary query language OPAL into optimal SQL
statements to be executed efficiently in the data warehouse. As a query
optimization engineer, your job is to exploit the algebraic structure of a
query and rewrite the query's execution plan (expressed in multiple layers of
intermediate representation) into its optimal form, and then make sure we can
produce the most succinct SQL statements from the plan. You will also work
closely with the boarder language team to define new language features,
understand performance implication, and use your domain knowledge to help
shape the product.
The ideal candidate should be:
* Experience with relational database internals
* Experience with query optimization & rewrites for performance
* Experience with data streaming is a plus but not required
* Experience with Go is a plus but not required
* Self-motivated, fearless, likes to dive in the code and get shit done
* Strong teamplayer who can work independently but cares about context and knows when to reach out
Observe focuses on Analytics, Business Intelligence, and Application
Performance Monitoring. Their company has offices in San Mateo and Zurich.
They have a mid-size team that's between 51-200 employees. To date, Observe
has raised $120M of funding; their latest round was closed on May 2022.
You can view their website at <https://www.observeinc.com/> or find them on
[Twitter](https://twitter.com/observe_inc) and
[LinkedIn](https://www.linkedin.com/company/observe-inc/).
