At Databricks, we are passionate about enabling data teams to solve the world's
toughest problems — from making the next mode of transportation a reality to
accelerating the development of medical breakthroughs. We do this by building
and running the world's best data and AI infrastructure platform so our
customers can use deep data insights to improve their business. Founded by
engineers — and customer obsessed — we leap at every prospect to solve
technical challenges, from designing next-gen UI/UX for interfacing with data to
scaling our services and infrastructure across millions of virtual machines. And
we're only getting started.
You will work with your team to build infrastructure and products for the
Databricks platform at scale. We have multiple teams working on different
domains.
* Resource management infrastructure powering the big data and machine learning
workloads on the Databricks platform in a scalable, secure, and
cloud-agnostic way
* Develop reliable, scalable services and client libraries that work with
massive amounts of data on the cloud,
across geographic regions and Cloud
providers
* Build tools to allow Databricks engineers to operate their services across
different clouds and environments
* Build services, products and infrastructure at the intersection of machine
learning and distributed systems.
The impact you will have:
* Hire great engineers to build an outstanding team.
* Support engineers in their career development by providing clear feedback and
develop engineering leaders.
* Ensure high technical standards by instituting processes (architecture
reviews, testing) and culture (engineering excellence).
* Work with engineering and product leadership to build a long-term roadmap.
* Coordinate execution and collaborate across teams to unblock cross-cutting
projects.
What we look for:
* 12+ years of extensive experience with large-scale distributed systems
alongside the processes around testing, monitoring, SLAs etc
* Extens