DevOps Engineer – Vancouver (Remote) ***Hold***

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.

 Contact: Amanda Du Toit amanda@corporate.bc.ca