AI/ML DevOps Developer

Desjardins; Montreal (administrative region); Hybrid; CAD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and annual bonus

4 weeks of flexible vacation starting

Defined benefit pension plan

Group insurance including telemedicine

Health and wellness expense reimburse.

Job summary

Desjardins is seeking an AI/ML DevOps Developer to advance AI capabilities in a modern cloud environment. You will build secure, automated foundations and collaborate with AI Architects and the LLMOps squad to deliver fast, reliable GenAI solutions with strong governance and compliance.

French language proficiency is required. This 12-month temporary role offers competitive compensation, 4 weeks vacation, a defined-benefit pension plan, group insurance, telework equipment reimbursement and

Qualifications

• Bachelor's degree in computer science, software development or a related field.
• A minimum of four years of relevant experience in DevOps, Cloud Engineering, Platform Engineering or Site Reliability Engineering (SRE).
• Please note that other combinations of qualifications and relevant experience may be considered.
• Knowledge of French is required.
• Expert knowledge of Azure, Databricks and data platform services.
• Expert knowledge of Docker, Kubernetes and distributed architectures.
• Proficiency in CI/CD, GitOps, and Infrastructure as Code practices.
• Knowledge of life cycle automation for data, ML, MLOps, or LLMOps solutions.
• Knowledge of automation for the release of production models, APIs, apps and inference services.
• Knowledge of MLOps and LLMOps tools such as MLflow, Azure Machine Learning, LangChain, OpenAI, and Azure AI.
• Knowledge of Python, YAML, Git and automation tools.

Responsibilities

• Design CI/CD pipelines to support development and release to production of AI and GenAI solutions.
• Automate release of infrastructure, services, data components and inference services using IaC principles.
• Implement DevSecOps practices for security, compliance and quality controls throughout the development cycle.
• Ensure management, evolution, and reliability of production, testing and development environments for AI capabilities.
• Develop and maintain observability, logging, monitoring and alerting mechanisms for service availability and performance.
• Collaborate with platform, security, data and development teams to standardize release and operational practices.
• Optimize delivery processes to reduce production lead times and improve release quality.
• Assist in enabling MLOps and LLMOps adoption across teams.
• Contribute to continuous improvement of tools, processes and standards used by the squad.
• Ensure access to material, knowledge and support for automation adoption.

Skills

DevOps

Cloud Engineering

Platform Engineering

SRE

CI/CD

GitOps

IaC

MLOps

LLMOps

Python

YAML

Git

Automation

Education

Bachelor's degree in computer science / software development or related field

Tools

Azure

Databricks

Docker

Kubernetes

MLflow

Azure Machine Learning

LangChain

OpenAI

Azure AI

Job description

Sep 2, 2026

Temporary 12 month position, with possibility of extension.

The Cybersecurity Monitoring Ecosystem Department is currently looking to add an AI/ML DevOps Developer to the team responsible for industrialization, governance and development of the organization’s AI capabilities. You’ll work in a modern cloud environment where the performance, security, compliance and automation of platforms are essential for supporting the generative artificial intelligence (GenAI) solutions and large language models (LLMs) used by our strategic business sectors. As a Developer, you’ll be responsible for implementing and updating programming practices required to improve, release and make use of the Security Office’s AI capabilities. You’ll work in close collaboration with the AI Architect and the members of the LLMOps squad to ensure the reliability, security and automation of all platform components. You’ll act as a technological facilitator for the LLMOps squad by building robust, automated and secure foundations that enable architectural and engineering teams to deliver AI solutions that are fast, reliable and compliant. You’ll make a direct contribution to ensuring the Security Office has a culture of continuous improvement and operational excellence. More specifically, you will be required to:

• Design, implement and maintain continuous integration and deployment (CI/CD) pipelines that support the development and release to production of AI and GenAI solutions
• Automate the release of infrastructure, application services, data components and inference services using Infrastructure as Code (IaC) principles
• Implement DevSecOps best practices for the introduction of security, compliance and quality controls throughout the development cycle
• Ensure the management, evolution, and reliability of production, testing and development environments supporting the Security Office’s AI capabilities
• Develop and maintain observability, logging, monitoring and alerting mechanisms to ensure service availability and performance
• Collaborate with the platform, security, data and development teams to standardize release and operational practices
• Optimize delivery processes to reduce production lead times and improve release quality
• Help implement the technological foundations necessary for the adoption of MLOps and LLMOps practices
• Participate in the continuous improvement of the tools, processes and standards used by the squad
• Ensure teams have access to all the material, shared knowledge and support needed to adopt automation and operational best practices.

What we offer*

• Competitive salary and annual bonus
• 4 weeks of flexible vacation starting in the first year
• Defined benefit pension plan that provides predictable, stable income throughout retirement
• Group insurance including telemedicine
• Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid

What you bring to the table

• Bachelor's degree in computer science, software development or a related field
• A minimum of four years of relevant experience in DevOps, Cloud Engineering, Platform Engineering or Site Reliability Engineering (SRE)
• Please note that other combinations of qualifications and relevant experience may be considered
• Knowledge of French is required
• Expert knowledge of Azure, Databricks and data platform services
• Expert knowledge of Docker, Kubernetes and distributed architectures
• Proficiency in CI/CD, GitOps, and Infrastructure as Code practices
• Knowledge of life cycle automation for data, ML, MLOps, or LLMOps solutions
• Knowledge of automation for the release of production models, APIs, apps and inference services
• Knowledge of MLOps and LLMOps tools such as MLflow, Azure Machine Learning, LangChain, OpenAI, and Azure AI
• Knowledge of Python, YAML, Git and automation tools

Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Desjardins is North America's largest cooperative financial group, offering a wide range of services while maintaining high capital ratios and recognition for employer excellence.