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Added 14 mins ago
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Strategic Sourcing Specialist, Corporate Services-EN
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Montreal, QC
- Full-time
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Onepoint

DevOps IA

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Minimum de 5 ans d’expérience en DevOps ou en ingénierie SRE (Site Reliability Engineering);
Posting language: English · French
Posted: Sep 11, 2026

Original job description

English section of this bilingual listing.

Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE

Do these words resonate with you? They are our company values.

At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.

Description du poste

Minimum of 3 weeks of vacation starting from the first year;
Comprehensive group insurance with a generous employer contribution;
Employer contribution to a group RRSP;
Full remote work flexibility: Hybrid, Remote, or On-site;
A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;
Annual IT equipment budget;
A balanced work environment with flexible working hours;
Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;
An international community of experts ready to share their knowledge;
A company culture focused on individuals’ needs and their belonging to a strong community.

#tech&security

Permis CNESST : AP-2504754, AP-2504755, AR-2504756

Read the full bilingual original

Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE

Do these words resonate with you? They are our company values.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.

Description du poste

Dans le cadre des projets d’innovation TI, vous intégrerez l’équipe AI Factory / Innovation à titre de DevOps IA. Vous serez responsable de la conception, de l’implantation et du maintien des infrastructures, des pipelines CI/CD et des environnements nécessaires au déploiement et à l’exploitation des solutions d’intelligence artificielle en production.

Vous travaillerez en mode agile, en étroite collaboration avec les développeurs IA, les scientifiques de données (Data Scientists), les architectes de solutions et les équipes d’infrastructure. Vous jouerez un rôle clé dans l’industrialisation des solutions d’IA et l’automatisation des processus de déploiement.

À titre d’expert(e) en programmation assistée par l'IA, vous utiliserez des outils d’IA générative (GitHub Copilot, Cursor, Claude, ChatGPT) afin d’accélérer la création de scripts, de configurations d’Infrastructure as Code et de pipelines CI/CD, ainsi que pour résoudre rapidement les incidents de production.

Responsabilités

Concevoir et mettre en œuvre des architectures infonuagiques (Cloud) pour les solutions d’IA (évolutives, sécurisées et optimisées);
Déployer et gérer des infrastructures sous forme de code (Infrastructure as Code) avec Terraform et CloudFormation;
Mettre en place des pipelines CI/CD pour les applications et les modèles d’IA;
Utiliser de façon experte le vibe coding pour générer des scripts, des configurations et des automatisations;
Automatiser les déploiements et les retours arrière (rollback) à l’aide de stratégies Blue/Green et Canary;
Configurer les outils de surveillance, d’alerte et d’observabilité des modèles d’IA en production;
Gérer les environnements (développement, préproduction, production) et les contrôles d’accès;
Optimiser les coûts et les performances infonuagiques (GPU, calcul, stockage);
Accompagner les équipes de développement sur les outils et les meilleures pratiques DevOps;
Produire la documentation technique des infrastructures et des procédures;
Mettre en œuvre les pratiques DevSecOps et assurer la conformité en matière de sécurité;
Partager avec l’équipe les meilleures pratiques en MLOps et en programmation assistée par l'IA.

Qualifications

Minimum de 5 ans d’expérience en DevOps ou en ingénierie SRE (Site Reliability Engineering);
Expérience démontrée en programmation assitée par l'IA utilisant des outils d’IA pour générer des scripts, des configurations et diagnostiquer des incidents;
Expertise en MLOps et en déploiement de modèles d’IA en production;
Maîtrise des plateformes infonuagiques (AWS, Azure, GCP) et des services d’IA associés;
Expertise en Infrastructure as Code (Terraform, CloudFormation, ARM Templates);
Solides compétences en conteneurisation et orchestration (Docker, Kubernetes, Helm);
Expertise CI/CD (GitLab CI, GitHub Actions, Jenkins, Azure DevOps);
Connaissance des outils MLOps (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines);
Excellentes compétences en scripting (Bash, Python) et en automatisation;
Expérience avec les solutions de surveillance et d’observabilité (Prometheus, Grafana, ELK, DataDog);
Connaissance des pratiques de sécurité DevSecOps;
Expérience en gestion des secrets et des configurations (Vault, AWS Secrets Manager);
Atout : expérience avec les GPU et l’optimisation des ressources dédiées à l’IA;
Excellente communication en français et en anglais. L'anglais est requis, le poste demandant de communiquer avec des clients et des partenaires situés à l'extérieur du Québec.

Seuls les candidat(es) légalement autorisés(ées) à travailler pour tout employeur au Canada seront considérés(ées)

Wepoint Benefits

Minimum of 3 weeks of vacation starting from the first year;
Comprehensive group insurance with a generous employer contribution;
Employer contribution to a group RRSP;
Full remote work flexibility: Hybrid, Remote, or On-site;
A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;
Annual IT equipment budget;
A balanced work environment with flexible working hours;
Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;
An international community of experts ready to share their knowledge;
A company culture focused on individuals’ needs and their belonging to a strong community.

#tech&security

Permis CNESST : AP-2504754, AP-2504755, AR-2504756

Apply About employer

More about this job

Responsibilities

You will be responsible for designing, implementing, and maintaining cloud infrastructures and CI/CD pipelines to support AI solutions in production. You will collaborate with data scientists and developers to industrialize AI models while utilizing generative AI tools to automate processes and resolve incidents.

Requirements

Candidates must have at least 5 years of experience in DevOps or SRE, with specific expertise in MLOps and AI model deployment. Proficiency in cloud platforms, Infrastructure as Code, containerization, and scripting languages is essential for this role.

Skills

DevOps
SRE
MLOps
Cloud computing
Terraform
CloudFormation
Docker
Kubernetes
CI/CD
Python
Bash
Generative AI
Infrastructure as Code
Observability
DevSecOps
AI model deployment

Benefits

3 weeks of vacation
Group insurance
Group RRSP
Full remote work flexibility
Annual IT equipment budget
Flexible working hours
Career development
Training and certifications

Visa sponsorship

Not detected in the job text

Keywords

DevOps
AI Factory
MLOps
Cloud
Terraform
CloudFormation
CI/CD
Generative AI
GitHub Copilot
Cursor
Infrastructure as Code
Blue/Green deployment
Canary deployment
Kubernetes
Docker
Helm
GitLab CI
GitHub Actions
MLflow
Kubeflow
Python
Bash
Prometheus
Grafana
DevSecOps
AWS
Azure
GCP
GPU
SRE

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