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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.