DevOps Engineer (Remote)

About Kinterview: Kinterview (kinterview.cc) is a real-time AI interview copilot. It listens to interviewers' questions and streams tailored answers to a private window, in 23 languages, on Zoom, Google Meet, and Microsoft Teams. We're a remote-first team on a mission to end interview anxiety for job seekers everywhere.

Location: Remote, work from anywhere (some overlap with UTC+8 mornings preferred).

What we offer: Competitive salary; fully remote and async-first; annual team offsite; learning & equipment budget; early-stage equity.

How to apply: Email your resume and a short note to [email protected] with the role title in the subject line.

01What you'll do

• Own cloud infrastructure, CI/CD, and observability for a real-time product.
• Keep deploys boring and rollbacks instant.
• Drive cost efficiency as streaming usage scales.

02What you bring

• 3+ years running production infrastructure on AWS/GCP.
• IaC (Terraform/Pulumi), containers, and solid networking fundamentals.
• On-call experience you can talk about calmly.

03Nice to have

• GPU inference infrastructure experience.

04About the product you'll be working on

Kinterview is a real-time AI interview copilot. When a candidate is in a live interview on Zoom, Google Meet, or Microsoft Teams, Kinterview listens to the interviewer's questions and streams tailored answers to a private window, in 23 languages.

Interviews are high-stakes moments, and the product exists to support candidates in that moment: the transcription has to keep up, the answers have to fit the question being asked and the candidate's own background, and the interface has to stay calm and out of the way while the candidate is under pressure. Every part of the product serves that moment.

05How the team works

We are a remote-first company and a small team (1-10 people), hiring remotely worldwide. We work async-first and in writing across time zones, with some overlap with UTC+8 mornings preferred so we can meet live when it matters. There is no handoff theater: the people who design and build a feature are the people who hear from users about it, and everyone owns their work end to end, from idea to shipped, measured, and iterated. If you like small teams where your work reaches users directly, you will fit in here.

06What we offer

Competitive salary, fully remote and async-first work, an annual team offsite, a learning and equipment budget, and early-stage equity.

07How to apply

Email your resume and a short note to [email protected] with the role title in the subject line. Tell us briefly why this role and what you have built or done that is most relevant.

More on this role: you are the person who makes sure the product is still there, still working, and still affordable when a candidate needs it most. You will own cloud infrastructure, continuous integration and delivery, and observability for a real-time product, the systems that turn code into a running service and tell the team, before users do, when that service is struggling.

You will keep deploys boring and rollbacks instant, so releasing becomes a routine the team trusts rather than an event it dreads, and so a bad release can be undone in moments rather than turning into a long outage during someone's interview. You will drive cost efficiency as streaming usage scales, watching where the money goes as more interviews run through the product and keeping that growth sustainable.

That work draws on three or more years running production infrastructure on AWS or GCP, on infrastructure as code with Terraform or Pulumi, on containers, and on solid networking fundamentals, the groundwork that makes everything else reliable. It also draws on on-call experience you can talk about calmly, because when a real-time product has a problem, the person holding the pager has to think clearly under pressure.

GPU inference infrastructure experience will help where the product's inference work needs hardware that is both fast and cost-effective to run.