BMO Logo

BMO

Associate, DevOps Engineer

Posted Yesterday
Be an Early Applicant
In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
Designs, builds, and maintains DevOps pipelines and infrastructure supporting AI and data applications for investment banking and global markets. Responsibilities include Infrastructure as Code, cloud and containerized environments, Kubernetes cluster maintenance, monitoring, automation, system integration, troubleshooting, and security improvements. The role also deploys data and machine learning services and collaborates with technical and business stakeholders.
The summary above was generated by AI

Application Deadline:

12/29/2026

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 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 visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

BMO Montréal, Québec, CAN Office

119, rue Saint Jacques, Montréal, Quebec, Canada

Similar Jobs

An Hour Ago
Hybrid
Internship
Internship
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Plan and execute cloud infrastructure software deployment, installation, configuration, integration, migration, and testing. Troubleshoot defects, perform occasional scripting and coding, document test results, support customer lab and production environments, and drive product or process improvements. Collaborate with team members while working with networking, Linux, virtualization, containers, Kubernetes, Docker, CI/CD, and DevOps practices.
Top Skills: Ci/CdCloud InfrastructureContainerizationDevOpsDockerKubernetesLinuxSoftware Configuration ManagementTcp/IpVirtualization
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Lead credit analyst for North American public finance ratings, performing issuer and industry research, financial statement analysis, producing credit reports, engaging issuers and investors, mentoring junior analysts, and ensuring regulatory compliance.
An Hour Ago
Hybrid
Mid level
Mid level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Own the roadmap and backlog for managed investment calculations. Translate investment methodologies and business needs into calculation specifications, requirements, user stories, and acceptance criteria. Analyze complex datasets with SQL, prototype and validate calculations, investigate discrepancies, and collaborate with research, engineering, QA, and stakeholders to ensure accurate production implementation. Prioritize enhancements, manage methodology changes, document calculations, monitor quality and adoption, and communicate delivery risks.
Top Skills: APIsCloud Analytical PlatformsData PipelinesPythonSQL

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account