MLOps DevOps Specialist Kubernetes AWS
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Build MLOps infrastructure with Kubernetes and AWS at MDA Space in Richmond, British Columbia, supporting machine learning delivery at scale. Connect development and production through secure, reliable tooling for AI and ML systems.
As an Intermediate DevOps Engineer, you will serve as a DevOps Specialist within the Geointelligence DevSecOps and MLOps team. You will design platforms, automate model lifecycle management, and improve operational visibility. Your work spans Python, Terraform, Docker, Kubernetes, and AWS services including EKS, SageMaker, and Bedrock.
Key Responsibilities:
- Design scalable MLOps platforms for on-premise and AWS environments
- Develop infrastructure-as-code modules for ingestion and model serving
- Automate CI/CD/CT pipelines from development through production
- Build monitoring, alerts, and self-healing mechanisms for live models
- Partner with analysts and teams on tooling and best practices
Requirements:
- Degree in computer science, engineering, data science, or related field
- Three-plus years software development experience, including two MLOps years
- Python and one compiled language such as C++, Go, or Rust
- Docker, Kubernetes, Terraform, Ansible, and CI/CD/CT proficiency
- AWS experience plus reliability status and Controlled Goods clearance eligibility
Apply DevOps, MLOps, Kubernetes, Terraform, and AWS expertise to reliable AI delivery at MDA Space.
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