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Added 9 days ago
NV
AI Solution Architect (ID#5443)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Build reference implementations using C#, ASP.NET, .NET 10, Python, and Azure with monitoring, logging, and observability, establishing the patterns the engineering team scales to…
Added 9 days ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $95 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 9 days ago
Senior Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
…ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work.…
Added 9 days ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 9 days ago
C
Principal Consultant, Secure Microsoft 365 Collaboration and AI
CrucialLogics
Canada
- Full-time
Proven expertise in Languages; PowerShell, PnP, Python (for AI scripting), JavaScript, C#, JSON, Power Query (DAX), and experience with REST APIs and GraphQL for integrating AI services.…
Added 9 days ago
HT
IT Product Engineer - HRIS
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
2+ years of professional software development experience with strong proficiency in Python and/or JavaScript/TypeScript.
Added 9 days ago
HO
AI Engineer
Hydro One
Toronto, ON
- $80 to $88 CAD / hour
- Contract
7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments
Added 9 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
Stay current with emerging DevOps, AI/ML, and cloud technologies to continuously improve processes.
Added 9 days ago
C
Machine Learning Engineer Co-op
CIBC
Toronto, ON
- Full-time
MLOps: You will utilize your Python programming skills to refactor experimental notebooks into production grade Python modules using functional programming. You will assist with tasks…
Added 9 days ago
GC
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
- $110,000 to $150,000 CAD / year
- Full-time
…solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and…
Added 9 days ago
Ads Threat Intelligence
Google
Waterloo, ON
Experience with programming languages such as Python, Go, C++, or Java.
Added 9 days ago
S
AI Engineer
SandboxAQ
Canada
- Full-time
…Goal Is To Make Agents Work Well On Their Own, In Teams, And With Humans. This Includes The Following…
Added 9 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 9 days ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
The ideal candidate will work closely with a large number of stakeholders to ensure smooth delivery pipelines, strong infrastructure-as-code practices, and a robust DevOps culture. This…
Added 9 days ago
Senior AI Platform Engineer
Motive
Toronto, ON
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance…
Added 9 days ago
L
ModiFace AI Researcher
L'Oréal
Toronto, ON
- Full-time
Exceptionalproficiencyin Python, coupled with mastery of one or more leading deep learning frameworks (e.g.,PyTorch, TensorFlow).
Added 9 days ago
C
Senior Software Engineer, Agent Infrastructure
Cohere
Remote, Canada
- Full-time
- Remote
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Added 9 days ago
C
Technical Lead, Innovation
Croesus
Montreal, QC · Laval, QC
- Full-time
Comfort across our stack, not just one corner of it: C# / .NET (.NET Core, REST/WebAPI) on the backend, TypeScript with Angular (our standard) and React (common on the Innovation side) on…
Added 9 days ago
Data Platform Manager
Helcim Inc
Calgary, AB
Our stack: BigQuery on Google Cloud Platform, dbt, and Airflow, with SQL and Python as our core languages.
Added 9 days ago
SL
AI Engineer (Digital, AI and Transformation)
Singapore Land Authority (SLA)
SK
- Full-time
Strong programming skills, particularly Python, with experience developing AI or automation solutions.
Added 9 days ago
L
ModiFace Sr. AI Researcher
L'Oréal
Toronto, ON
- Full-time
Exceptionalproficiencyin Python, coupled with mastery of one or more leading deep learning frameworks (e.g.,PyTorch, TensorFlow).
Added 9 days ago
B
IT Systems Engineer
Baseten
Toronto, ON
- $175,000 to $225,000 USD / year
- Full-time
Proficiency in at least one scripting language (Python, Bash, or PowerShell) and experience working with REST APIs
Added 9 days ago
H
Data Science Manager (Hybrid)
Homebase
Remote, Canada
- $170,000 to $240,000 CAD / year
- Full-time
- Remote
At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive…
Added 10 days ago
AL
AI Engineer (Agentic AI / AWS Bedrock)
Accion Labs
Canada
- Contract
We are seeking an experienced AI Engineer with strong hands-on expertise in building, deploying, and monitoring production-grade AI agents and Generative AI solutions using AWS technologies.
Added 10 days ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
The ideal candidate will combine deep expertise in Quality Engineering with hands-on experience evaluating Large Language Models (LLMs), AI agents, AI-assisted workflows, and enterprise AI…

BMO

Associate, DevOps Engineer

Toronto, ON, Canada
FCP, Canada

Base Salary: $90,000-$120,000 CAD

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Job details

Pay: Base Salary: $90,000-$120,000 CAD
Apply by: Dec 30, 2026
Posting language: English
Posted: Oct 22, 2026

Original job description

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.

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More about this job

Responsibilities

Develop and maintain scalable, reliable DevOps pipelines and infrastructure for AI and data applications, including build systems, infrastructure automation, and server clusters. Improve monitoring, troubleshoot infrastructure issues, integrate enterprise release technologies, and keep platform practices current with emerging DevOps, AI/ML, and cloud technologies.

Requirements

A university degree in Computer Science, Engineering, Mathematics, or a related technical field is required, along with strong cloud-platform experience and hands-on Kubernetes, Argo CD, and service deployment experience. Candidates should be proficient in Python, Go, or Bash and have experience with IaC, containerized environments, DevOps tooling, cloud security, and security protocols; cloud or Kubernetes certifications and advanced AI experience are advantageous.

Skills

DevOps
Cloud Platforms
Kubernetes
Argo CD
Python
Go
Bash
Infrastructure as Code
Terraform
Helm
Kustomize
Containerization
Cloud Security
CI/CD
Monitoring and Observability
Security Protocols

Benefits

Health Insurance
Tuition Reimbursement
Accident Insurance
Life Insurance
Retirement Savings Plans
Performance-Based Incentives
Discretionary Bonuses

Visa sponsorship

Not detected in the job text

Keywords

DevOps
AI
Machine Learning
Data Applications
AWS
Azure
Google Cloud Platform
Kubernetes
Argo CD
Kafka
Druid
OpenTelemetry
Python
Go
Bash
Infrastructure as Code
Terraform
Helm
Kustomize
CSPM
DSPM
ASPM
OCI Images
GitHub
GitLab CI
Jenkins
Prometheus
Grafana
Elasticsearch
Kibana

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