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Cloud Infrastructure Engineer
4 weeks ago
Join to apply for the Cloud Infrastructure Engineer role at DarkVision DarkVision is seeking a Cloud (ML) Infrastructure Engineer. You will build and maintain cloud infrastructure to support cutting‑edge machine‑learning and signal‑processing research as well as production workloads at scale. You will proactively enhance tools and processes to achieve excellence in reliability, efficiency, observability and security. You will promote DevOps and MLOps best practices to accelerate research and development, and spearhead cross‑functional projects, serving as the bridge between software engineering, ML research and data science. This full‑time position is on‑site in our HQ in North Vancouver, BC, where employees enjoy full access to our facility amenities, including a well‑equipped gym, squash court, climbing wall, steam room, and more. Our Team With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top‑tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures. You will be part of the Machine Learning Team and work closely with Machine Learning DevOps Engineers, Machine Learning Scientists, Data Scientists and Software Engineers. What You Will Do Develop and maintain cloud infrastructure to support research and production batch processing workloads. Build automation, CI/CD, and release management. Optimize ML models and classical algorithms to run efficiently and robustly. Introduce and promote ML Ops best practices to accelerate research using modern tooling such as DVC, WandB, etc. Collaborate with software engineers for continuous improvement of end‑to‑end products from hardware tool to customer. Who You Are (Basic Qualifications) Bachelor's degree in Science, Engineering, or Mathematics. At least 3 years of professional experience in a DevOps, MLOps, or Software Engineering role. At least 3 years of experience developing and managing Cloud Infrastructure on AWS services (VPC, EC2, S3, RDS, etc.). Knowledge of System Design, common architectural patterns and trade‑offs, particularly cloud‑native development in the context of data‑intensive, large‑scale workloads. Experience administering Kubernetes and related tools (e.g. Helm, Karpenter, Traefik) to support production workloads. Proficiency in Python programming. Familiarity with Linux and Shell Scripting. What Will Put You Ahead Having shipped at least one complex software product and supported it in production for real customers. Data Science skills (Prefect, NumPy, Pandas/Polars, SciPy, Matplotlib). Knowledge of databases, SQL vs NoSQL, data pipelines, and data governance. Background in ML, especially in Computer Vision for engineering applications. Educational background or work experience in ultrasound, signal processing, or similar. Experience managing hybrid or on‑prem infrastructure. Outstanding technical communication, analysis and problem‑solving abilities. 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. About DarkVision 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 and 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. 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 Koch careers webpage. Successful candidates will be required to complete a criminal background check. keywords: ML, machine learning, infrastructure, cloud, AWS, CI/CD, build automation, Python, MLOps, DevOps, System Design, Kubernetes, Linux, Shell Scripting, data science, databases, data pipeline, computer vision, ultrasound, signal processing. #J-18808-Ljbffr
