Atomic is hiring a

DevOps Engineer

San Francisco, United States

 

Zenreach is looking for a DevOps Engineer to join our product team. Our product team is a small, tightly-knit crew working on building the smartest e-mail outreach platform ever. What makes us different? What Google did with cost-per-click for online marketing, we're doing for the offline world. If you want to build something that's never been done before and help thousands of local businesses in the process, come check us out!

WE ARE...

  • We believe in small, talented teams. We have more components than engineers and we’re keeping it that way.
  • We are pragmatic. Even though we work with some of the latest technologies like Docker, CoreOS and Go, we always pick the right tool for the job.
  • We are tightly knit. We love learning and growing together, and frequently spend time together outside of work.
  • We are driven. We are more interested in creating lasting value for our merchants than we are in hype.

CORE RESPONSIBILITIES

We need someone who can scale our systems through the next stage of our company. Any individual wishing to fill this role must have an acute attention to detail, stellar communication skills, and experience managing cloud based infrastructure. Your responsibilities will include:

  • Maintaining and scaling the Zenreach compute infrastructure
  • Instrumenting systems with monitoring and alerting
  • Building infrastructure automation in Go
  • Supporting the Zenreach continuous build system

REQUIREMENTS

Our infrastructure automation is written in Go. You should be experienced in Go or another language commonly used in systems and infrastructure programming. Experience in Linux and Bash should go without saying. You should also feel comfortable working with the various components of our infrastructure. Those include:

  • Amazon Web Services
  • CoreOS, Fleet, and Docker
  • MongoDB, DynamoDB, and Redis
  • HAProxy

Experience in the following will get you bonus points:

  • Kubernetes
  • DynamoDB, Cassandra
  • Apache Spark