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Posted by the employer · Mountain View, United States

Production Engineer

Otter.ai · Mountain View · United States

$155,000–$185,000 per yearManufacturing / Process Engineer

Posted: 8/4/2025 · On the employer's job feed since 10/11/2026

The advert

Quoted in full from Otter.ai's job posting. Gavroche does not edit it.

The Opportunity

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.  

Your Impact
  • 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
  • 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
  • Investigate and dig into data to find the root of a problem and strategize with our engineers on solutions
  • Participate in on-call rotation

We're looking for someone who

  • Bachelor's in Computer Science or Electrical Engineering (MS preferred)
  • 3+ years experience in SRE/Production Engineering, and IT Systems / Enterprise IT / Systems Engineering / DevOps-internal tooling, supporting internal customers
  • Expert level experience architecting, developing, and troubleshooting large scale systems
  • Advanced level proficiency with one or more programming languages (i.e. Python, Golang)
  • Extensive experience with CI/CD pipelines and infrastructure as code (i.e. Terraform, Ansible)
  • You have a strong familiarity with AWS services (i.e. ECS, S3, ALB, VPC) 
  • You have knowledge in containers and orchestration using Kubernetes
  • Experience building production quality cloud infrastructure that enables reliable and rapid deployment of large-scale systems with effective monitoring and resilient operations 
  • You thrive working in a fast paced, startup environment 
  • You have a proven track record taking on projects from inception to launch
  • Solid troubleshooting fundamentals across macOS/Windows/Linux, networking basics, and security hygiene
  • Able to work through ambiguous problems and coordinate with IT, Security, and Engineering stakeholders
  • Identity and access workflows (Okta/Entra, Google Workspace/M365), provisioning automation

About Otter.ai 

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

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.

#LI-Hybrid

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