Remote Cloud Infra Engineer – Kubernetes & GPU Clusters in Toronto

Remote Cloud Infra Engineer – Kubernetes & GPU Clusters in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) Hybrid
E

At a Glance

  • Tasks: Manage GPU-accelerated clusters and scale Kubernetes for a leading AI platform.
  • Company: Join ElevenLabs, a top AI research and product company.
  • Benefits: Enjoy remote work, competitive pay, and opportunities for growth.
  • Other info: Be part of a dynamic team that values hands-on engineering.
  • Why this job: Make an impact on technology that powers millions of users.
  • Qualifications: Experience with Kubernetes and cloud infrastructure is a must.

The predicted salary is between 135000 - 165000 $ per year.

Eleven Labs, a leading AI research and product company, seeks Infrastructure Engineers to own the platform powering millions of users.

You will run GPU‑accelerated clusters, scale Kubernetes, and extend our cloud and on‑prem footprint.

Expect close collaboration with research, product, security and safety teams to drive reliability and cost efficiency.

Join a flat, fast‑moving team that values hands‑on execution and pragmatic engineering.

#J-18808-Ljbffr

Remote Cloud Infra Engineer – Kubernetes & GPU Clusters in Toronto employer: ElevenLabs

At ElevenLabs, we pride ourselves on being an innovative employer that fosters a high-velocity work culture where creativity and impact take precedence over job titles. Our commitment to employee growth is evident through our annual professional development stipend and dynamic team environment, offering countless opportunities to drive meaningful change in the AI landscape. With a global team and unique benefits like social travel and annual offsites in exciting locations, working with us means being part of a generational opportunity to shape the future of technology.

E

Contact Details:

ElevenLabs Recruitment Team

We think you need these skills to ace Remote Cloud Infra Engineer – Kubernetes & GPU Clusters in Toronto

Kubernetes
GPU Clusters
Cloud Infrastructure
Reliability Engineering
Cost Efficiency
Collaboration Skills
Hands-on Execution