Building the space between proven and possible, MDA Space is a trusted mission partner to the global space industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The global MDA Space team of more than 4,000+ space experts has the knowledge and know-how to turn an audacious customer vision into an achievable mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. We are looking for a DevOps Specialist with experience with MLOps to bridge the gap between machine learning development and production engineering. In this role, you will design, build, and maintain the infrastructure and tooling that enables our AI and ML Analysts and Engineers to rapidly develop, deploy, monitor, and iterate on machine learning models at scale.
The DevOps Specialist is a core member of the Geointelligence DevSecOps and MLOps team. You will work at the intersection of Software Engineering, DevOps, and Machine Learning – ensuring our AI and ML systems are reliable, reproducible, and productive. This is a high-impact role that will shape how we deliver AI – powered products to our customers.
Design and evolve a scalable, secure MLOps platform that include model registry, CI / CD / CT, feature store, experiment tracking, and monitoring built on Kubernetes, Terraform for both on premise and cloud (AWS)Develop reusable infrastructure-as-code modules for data ingestion, model serving, and auto scaling.
Implement automated CI / CD pipelines that take model code, data schemas,



and container images from development to production with minimal down timeIntegrate model versioning with data lineage and meta data trackingOperational Excellence Partner with AI / ML Analysts to translate research notebooks into production ready pipelines, providing tooling, best practice guidance, and code reviewsCollaborate with Corporate IT, Technical Governance, and Platform Products to up-skill teams on MLOps best practices and platform usage.
Implement data encryption in transit and at rest, role-based access control, and secure secret management meeting both government and industry standards.
Participate in risk assessments and support audit activities for Geointelligence AI and ML systems.
Continuous Improvement Sc in Computer Science, B.
Eng Engineering, Data Science, or related field3+ years of software development experience with at least 2 years focused on MLOpsProficiency in Python and at least one compiled language such as C / C++, Go, RustProficiency with Docker containers and KubernetesInfrastructure as code (Terraform, Ansible)CI / CD / CT toolingModel serving frameworksExperiment / metadata trackingMonitoring and ObservabilityCloud PlatformExperience with AWS services for compute including EKS, storage, and AI / ML e.
SageMaker / BedrockExcellent communication – the ability to translate technical concepts for non-technical stakeholdersProactive problem solver, comfortable working in a fast paced, mission critical environmentComments/Special Considerations security clearance at the reliability status Controlled Goods Program (CGP) .
An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA’s and Canada’s leadership in this next golden age.extended healthcare andflexible drug plans, dental and vision benefits, disability income protection, life insurance, group retirement savings plans; and an employee and family assistance program.

📌 DEVOPS ENGINEER (Winnipeg)
🏢 MDA
📍 Winnipeg