Job Description

We live and breathe big data. Daily, we ingest and extract useful information from hundreds
of live TV channels as well as collect, analyze, and report on information from millions of
active TVs. We’re all in with AWS and make extensive use of many of their services. On any given day we are running between 4500-5000 instances with a 100+ internal services on a stack and application set that includes Ubuntu, C, Python, RDS, Kafka, Elastic, Redshift and Kinesis, Databricks.

As any organization that has grown organically and significantly over time there is a lot to
manage and a fair amount of tech debt. This means you will have the opportunity to come
in and manage what we have while helping reimagine how we approach specific operational
challenges such as administration, monitoring, logging, configuration management and
automation.