Associate, DevOps Engineer

1 week ago

Toronto ON, Toronto Census Division, ON; Ontario, Canada BMO Financial Full-time €90,000 - €120,000 Temporary

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets

About the Role  

We are seeking an experienced 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.  

  • Maintenance and upgrading of server infrastructure including multiple clusters.  

  • 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   k8s and   ArgoCD   and deployment of various   range   of services such as Kafka, Druid,   and   OpenTelemetry .  

  • 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).  

  • Experience   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 repre