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Open nowPosted 99 days ago

Infrastructure Engineer

shakudo12 open roles

Where
Toronto, ON
Work mode
On site
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Your applicationOpen nowInfrastructure Engineershakudo · Toronto, ON

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  2. 3.5%3 days
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  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 99 days ago

The posting

At Shakudo, we're building the world's first operating system for data and AI. We use the term "operating system" in the truest sense: just like iOS, Windows, or Linux, Shakudo's end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to each business's unique needs.

We are seeking an Infrastructure Engineer to join our Business Automation team to own and operate the internal systems, infrastructure, and AI Gateway product that power Shakudo at scale. This is a hands-on role for someone who thrives on keeping production systems reliable, secure, and fast. You will be responsible for everything from physical servers and DGX machines to CI/CD pipelines and customer-facing AI Gateway infrastructure. You will also contribute directly to product hardening, security, and DevOps practices across the platform.

At Shakudo, our culture is proactive, collaborative, and supportive — we succeed together by building strong partnerships and solving complex challenges. We expect high ownership: you will be hands-on, driving outcomes directly rather than delegating or waiting for direction. Individual contribution matters here — your work will have a visible, measurable impact on the company's operations and product.

Key Responsibilities

  • Maintain and operate internal services for the rest of the Shakudo employees, including proprietary applications for sales and ETL pipelines
  • Maintain and operate DGX machines that host LLMs for the team's use
  • Maintain and operate Shakudo's product for Shakudo's internal use, and contribute to product hardening, security, and DevOps practices
  • Maintain and operate physical servers for Kubernetes clusters and ensure uptime
  • Create CI/CD pipelines for internal deployments
  • Maintain and operate the AI Gateway product for customers, ensure uptime, and contribute to product roadmap

Qualifications

  • 8+ years of experience across software, data, platform, or AI engineering roles
  • 5+ years of strong experience with Kubernetes cluster operation and DevOps, and bare-metal server operations
  • Experience operating production infrastructure at scale, including physical servers, GPU clusters, and CI/CD systems
  • Strong background in security hardening, observability, and reliability engineering
  • Proficiency in Rust is preferred
  • Experience with AI/ML infrastructure, including LLM hosting and inference serving is preferred

Why Shakudo Stands Out

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