Site Reliability Engineer, Data - Remote OK

Engineering Boulder, Colorado San Francisco, California Plano, Texas Austin, Texas San Jose, California

Site Reliability Engineer, Data - Remote OK

Join us as we pursue our disruptive vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most significantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Note: Team works US Eastern timezone.


As part of Splunk's Cloud-First mission, the Data Reliability Engineering team is accountable for the overall quality, reliability, accessibility, and compliance of data collected in our cloud production environments.

We are data engineers, site reliability engineers, and Splunk specialists. We engage with product and infrastructure teams at every level, from directly embedding on their teams to tagging in for the gnarliest of data challenges!

Our goal is to make high quality, predictable data that is easy to access in a compliant manner and used to drive meaningful actions that improve our customers' experiences.

You will:

  • Work across the organization to help identify, deliver, and analyze data that can be used by teams ranging from incident response, SRE teams, service owners, and sales.
  • Develop highly performant and scalable services in Python and/or Golang
  • Understand observability platforms (Splunk, ELK, New Relic, AppDynamics, Dynatrace, Prometheus, etc.) and use them with large scale distributed cloud services like AWS and GCP.

It would be nice to have:

  • 3+ years of related experience with a technical Bachelor’s degree; or equivalent practical experience.
  • Experience with Splunk data and architecture.
  • A good understanding of Security and IT Operations and how customers expect to interact with log data.
  • Experience with collecting metrics from multi-cluster Kubernetes environments and strong understanding of multi-tenancy and security implications.

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

Thank you for your interest in Splunk!