Otterai

Otterai

Production Engineer

Mountain View, CA

Sponsorship not specified$155k-$185kDetected 77 days ago
PythonGoData StructuresAWSCloud PlatformsKubernetesTerraformAnsibleCI/CDLinuxPrometheusGrafanaDevOpsSite Reliability EngineeringElectrical Engineering

About the role

  • We are seeking a talented Engineer with extensive system knowledge who wants to be part of a team to build and operate large-scale systems that enables reliable and rapid deployment with effective monitoring and resilient operations.

Responsibilities

  • Manage and maintain infrastructure
  • Own, design and implement monitoring systems such as Prometheus and Grafana
  • Optimize Linux systems for performance, reliability, and security
  • Own configuration management process(es) and build product features as appropriate
  • Expert level experience architecting, developing, and troubleshooting large scale systems

Nice to have

  • Automation! Capability! Performance! Scale!
  • Have a strong influence in defining our engineering best practices and deployment process
  • Help automate the continuous integration and testing processes to enable and scale
  • Investigate and dig into data to find the root of a problem and strategize with our engineers on solutions
  • Participate in on-call rotation
  • You have 2+ years experience in SRE, Production Engineering and/or DevOps
  • Advanced level proficiency with one or more programming languages (i.e. Python, Golang)
  • Deep experience with data structures and Linux systems internals (e.g., filesystems, system calls) and administration

Compensation

  • Salary Range: $155,000 to $185,000 USD per year.
  • This salary range represents the low and high end of the estimated salary range for this position.
  • The actual base salary offered for the role is dependent based on several factors.
  • Our base salary is just one component of our comprehensive total rewards package.

Company info

  • We're looking for someone who

This listing is sourced directly from Otterai's careers page and normalized into a canonical job model.