Temporary 12 month position, with possibility of extension.

Required
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 setting 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.

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!

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📌 AI/ML DevOps Developer (Quebec City)
🏢 Desjardins
📍 Quebec City