At Databricks, we are passionate about enabling data teams to solve the world's
toughest problems, from security threat detection to cancer drug development. We
do this by building and running the world's best data and AI infrastructure
platform, so our customers can focus on the high value challenges that are
central to their own missions. Our engineering teams build technical products
that fulfill real, significant needs in the world. We always push the boundaries
of data and AI technology, while simultaneously operating with the resilience,
security and scale that is important to making customers successful on our
platform.
We develop and operate one of the largest scale software platforms. The fleet
consists of millions of virtual machines, generating terabytes of logs and
processing exabytes of data per day. At our scale, we observe cloud hardware,
network, and operating system faults, and our software must gracefully shield
our customers from any of the above.
As a Senior Software Engineer working on the Data Platform team you will help
build the Data Intelligence Platform for Databricks that will allow us to
automate decision-making across the entire company. You will achieve this in
collaboration with Databricks Product Teams, Data Science, Applied AI and many
more. You will develop a variety of tools spanning logging, orchestration, data
transformation, metric store, governance platforms, data consumption layers etc.
You will do this using the latest, bleeding-edge Databricks product and other
tools in the data ecosystem - the team also functions as a large, production,
in-house customer that dog foods Databricks and guides the future direction of
the product.
The impact you will have:
* Design and run the Databricks metrics store that enables all business units
and engineering teams to bring their detailed metrics into a common platform
for sharing and aggregation, with high quality, introspection ability and
query performance.
* Design and run t