Job Specifications
Application Deadline:
Address:100 King Street West
Job Family Group: Capital Mrkts Sales & Service
BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025.
About the Role
We are seeking an experienced AI/Data DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and infrastructure to support AI and data-driven applications across Investment Banking and Global Markets. You will play a critical role in enabling scalable, secure, and automated environments for deploying advanced analytics and machine learning solutions. Our Team The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. We leverage cutting-edge technologies to solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.
Key Responsibilities
Develop and maintain end-to-end DevOps pipelines for AI and data applications, ensuring reliability and scalability.
Enhance build infrastructure for in-house data and analytics applications.
Implement Infrastructure as Code (IaC) for platform components and create automation tools for efficient platform management.
Collaborate with Data Scientists and Model Governance teams to design and maintain MLOps pipelines.
Establish strong security measures for AI/ML pipelines, ensuring compliance with enterprise security standards.
Improve monitoring facilities across diverse applications and troubleshoot infrastructure issues promptly.
Integrate enterprise technologies for application release and system integration.
Stay current with emerging DevOps, AI/ML, and cloud technologies to continuously improve processes.
Qualifications
University degree in Computer Science, Engineering, Mathematics, or related technical field.
Strong experience with cloud platforms (AWS, Azure, GCP).
Hands-on experience with Kubernetes and AI/ML infrastructure and model deployment.
Familiarity with machine learning frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow, Seldon, KServe).
Proficiency in programming languages such as Python, Go, and Bash.
Experience with Infrastructure as Code tools (Terraform, Helm, Kustomize).
Knowledge of cloud security frameworks and tools (CSPM, DSPM, ASPM).
Familiarity with containerized environments and OCI image building.
Experience with DevOps tools (GitHub, GitLab CI, Jenkins, Prometheus, Grafana, Elasticsearch, Kibana).
Strong understanding of security protocols (Kerberos, TLS, OAuth2).
Excellent communication skills for collaboration with technical and business stakeholders. Nice to Have
Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS/Azure/GCP cloud certifications.
Experience with Generative AI, Agentic AI, or similar advanced AI technologies, including building and deploying intelligent agents and generative models.
What We Offer
Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using cutting-edge technologies. We offer opportunities for professional growth, access to the latest tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in DevOps engineering and AI
Base Salary: $90,000-$120,000 CAD
(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)
Salary:
Pay Type: Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please vi