Description

PAN reinvented the enterprise firewall, growing from a startup to a multi-billion dollar company. Our next leading-edge innovation is PAN’s Threat Prevention Cloud Services, leveraging the latest developments in big data, machine learning, virtualization, high density storage, and distributed systems to enable threat analysis at a scale never seen before. Our cloud services, in conjunction with the reach of our firewalls deployed across the globe, create a data platform which no other enterprise security company has ever been able to build. The size and complexity of the data we are dealing with is in line with some of the largest Internet companies.

As a Site Reliability Engineer at PAN you will be responsible for provisioning, maintaining, and scaling our production services and server farms across multiple data centers for this complex and data-intensive cloud service. You will contribute to and ensure service reliability, capacity, and performance. You will write automation code for provisioning and operating this infrastructure at massive scale. You will work with development and QA on building pipelines and automation for delivering and deploying production applications to this infrastructure.

  • Managing a production SaaS platform at scale
  • 1-3+ Work experience in Linux system administration via automation/coding
  • Strong troubleshooting and analytical skills
  • Very comfortable with scripting, Python preferred
  • Hands on experience with the Hadoop ecosystem or Elastic Search
  • Focused on owning, improving, resolving, and delivering

  • Enjoy challenges, “do the right thing” and “love to learn” mentality Preferred skills and experience, highly valuable in addition to the items above:

  • Elastic Search is a big plus
  • Nginx and HAProxy
  • Experience with geographically dispersed systems
  • Experience with Configuration Management systems, Salt preferred, Chef/Puppet ok
  • Experience with Jenkins and setting up pipelines
  • Hadoop ecosystem components, especially HDFS, HBase, Spark, Kafka

GDRD

Desired Skills and Experience

See application page for details