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Hyperstack is building out its OpenStack and Kubernetes environments to support scalable GPU workloads. This role offers ownership over infrastructure, end-to-end lifecycle management, and a fast-moving, collaborative culture.
You will design, deploy, and operate critical infrastructure while continuously improving reliability and security. The role may require travel to Quebec sites and offers flexible working arrangements.
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is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature.
We're a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practice what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like.
This role exists because our platform is scaling quickly — and complexity comes with it. As we expand our OpenStack and Kubernetes environments globally, we need engineers who can take real ownership of how the platform is designed, operated, and improved. You'll have direct ownership over business-critical infrastructure that impacts performance, reliability, and customer experience.
This is not a maintenance role. If you like solving hard problems, owning systems end-to-end, and seeing the impact of your work immediately — you'll enjoy this.
Rather than a long checklist, here's what success in this role looks like:
We're more interested in how you think and work than in a perfect CV. You'll likely bring a combination of the following:
Head over to our careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and hear exciting news in the neocloud space.
4584–9230$ /month
4584 $ 25%
6297 $ median
9230 $ 75%
The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.