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Cloud Infrastructure Engineer
Cloud Infrastructure EngineerEquest • North Vancouver, British Columbia, Canada
Cloud Infrastructure Engineer

Cloud Infrastructure Engineer

Equest • North Vancouver, British Columbia, Canada
9 days ago
Job type
  • Full-time
Job description

Your Job

DarkVision is seeking a Cloud Infrastructure Engineer to join our Imaging & AI team. You will design, build, and maintain the cloud infrastructure that powers our cutting-edge research and high-scale production workloads. You will be the architect of the platform that enables our diverse technical teams to operate efficiently.

DarkVision's ultrasound imaging system collects huge datasets on the order of terabytes, detecting sub-millimetric defects in industrial assets that span hundreds of kilometers. Processing this data reliably requires a rock-solid foundation. You will focus on creating the scalable compute environments, storage systems, and automation pipelines that allow our machine learning models and signal processing algorithms to run at scale.

This role is on-site at our North Vancouver, BC HQ, where employees enjoy a wide array of amenities including a fully equipped gym, squash court, steam room, climbing wall, and more!

Our Team

Working in the Imaging & AI team, you will join a multidisciplinary group of PhDs, engineers, and research scientists. This team is responsible for early-stage ideation, research, experimentation, and development. You will collaborate closely with Machine Learning Scientists, Data Scientists, and Software Engineers to ensure our infrastructure meets the evolving needs of our technology stack.

What You Will Do

  • Cloud Architecture & Maintenance : Architect and manage robust cloud infrastructure on AWS to support both research experimentation and heavy production batch processing.
  • Cluster Management : Administer and optimize Kubernetes clusters, utilizing tools like Helm and Karpenter to ensure efficient orchestration of containerized workloads.
  • DevOps & Automation : Build and maintain CI / CD pipelines and release management processes. You will drive the adoption of DevOps best practices to accelerate the research-to-production lifecycle.
  • Reliability & Observability : Proactively enhance system tools to achieve excellence in reliability, security, and observability. You will ensure our systems remain performant and secure under heavy load.

Who You Are (Basic Qualifications)

  • Bachelor's degree in Science, Engineering, or Mathematics.
  • 3+ years of professional experience in a DevOps, MLOps, or Software Engineering role.
  • Experience developing and managing Cloud Infrastructure on AWS services (VPC, EC2, S3, RDS).
  • Hands-on experience administering Kubernetes and related tools (e.g., Helm, Karpenter, Traefik).
  • Proficiency in Python programming and familiarity with Linux / Shell scripting.
  • Strong knowledge of system design patterns for data-intensive, large-scale workloads.
  • What Will Put You Ahead

  • Experience shipping complex software products and supporting them in production.
  • Familiarity with data science tools and libraries (e.g., Prefect, NumPy, Pandas).
  • Knowledge of databases (SQL / NoSQL) and data pipeline governance.
  • Experience managing hybrid or on-premise infrastructure.
  • Outstanding technical communication skills to bridge the gap between software engineering and ML research.
  • General Salary Range

    For this role, we anticipate paying $100,000 to $150,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

    At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

    Who We Are

    DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world's most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.

    Backed by Koch Inc., one of the world's largest privately held companies, DarkVision's team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company's current and upcoming products.

    We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.

    At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

    Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

    How to Apply

    If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.

    We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.

    Successful candidates will be required to complete a criminal background check.

    Keywords : Cloud Infrastructure, DevOps, MLOps, AWS, Kubernetes, Python, CI / CD, System Design, Data Pipelines, Linux, Automation.

    #LI-JN1

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    Cloud Infrastructure Engineer • North Vancouver, British Columbia, Canada

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