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DevOps Engineer – Vancouver

Corporate Recruiters Ltd.
Full Timejunior
Vancouver, British Columbia, CAPosted April 6, 2026

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PythonRubyAWSGCPAzureKubernetesJenkins

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Job Description

Job Description Summary

Our client is a small team with big dreams, and a leadership team with the technical expertise and business experience to deliver. Their solutions combine machine learning, hardware design, and software development tools, so they have need for a wide range of skills and looking for people who want to work where their individual contribution makes a real impact. If you think you can help design, build, test, package, explain, or sell machine learning solutions for edge devices, they may have a place for you to do just that.

Essential Duties and Responsibilities

· Develop and support automated Test and Release infrastructure and tools with strong emphasis on efficiency, stability, scalability, and smart resource management

· Integrate with highly efficient and scalable machine learning (ML) development flows, tools and infrastructure

· Collaborate with other teams in the organization to ensure successful deployment, maintenance, and support of the same

· Design, build and maintain software & services to best exploit performance on modern GPU accelerated desktop, server and cloud environments

  • Support internal partners and customers to achieve predictable and high-quality continuous releases.

Required Skills

  • A BS, MS, or PhD degree from a leading university in an engineering or computer science related discipline
  • 5+ years of professional software development experience
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Solid coding skills in Ruby or Python (Python preferred, although open to alternative scripting languages)
  • Strong Knowledge of continuous integration, continuous delivery methodologies
  • Solid understanding of clean code principles and clean software design

Preferred Skills

  • Experience with Jenkins, Kubernetes, Kubeflow or similar
  • Experience in automating ML and AI training infrastructure
  • Experience with distributed GPU/CPU server and cloud solutions from AWS, GCP, Azure
  • Experience using and integrating with the Atlassian suite of products.

The company provides competitive compensation and an innovative work environment advancing ML and semiconductor technologies.

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