DevOps Engineer

IT
California
January 25, 2023
Full Time

Job Overview

  • Date Posted
    January 25, 2023
  • Location
    California
  • Expiration date
    March 26, 2023
  • Requisition ID
    DE006
  • Working Type
    Remote

Job Description

Our On-Prem engineering team is responsible for the deployment of customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative.

Responsibilities:

  • Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
  • Gather requirements from customers and adapt manifests and software to support new environments
  • Use and augment monitoring tools to observe platform health, ensure performance and reliability
  • Interact with the product team to test new features and package new on-prem releases
  • Automate and optimize the release pipeline to make it as frictionless as possible
  • Exhibit continuous curiosity for emerging technology that could solve our challenges

 

Responsibilities and required skills

 

Required Skills:

  • 1-2+ years experience in site reliability engineering, DevOps, and system administration
  • CS (preferred) or other technical degree, or equivalent practical experience
  • Experience working with DevOps tools such as Kubernetes, Terraform, Ansible, Puppet and Chef
  • Proficiency with scripting languages such as Python and bash
  • Experience managing cloud infrastructure in AWS, GCP, and/or Azure
  • Expertise in Linux administration, configuration, and networking protocols

Desired Skills:

  • Experience with on-prem deployment architectures
  • Experience running a 24x7 SaaS platform with defined SLI, SLO, SLA
  • Familiarity with operating machine learning & AI applications

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