- Location: Montreal, Québec
- Salary: $63.40 – $73.06 per hour
- Job Type: Contract
Advantages
Join a forward-thinking team (AI Lab) working on real-world Artificial Intelligence solutions.
Enjoy 1-year contract stability with a clear path to permanency.
Work with a modern tech stack (AWS, Kubernetes, Terraform, Databricks).
Benefit from a hybrid work environment in downtown Montreal.
Competitive compensation based on experience.
Responsibilities
Manage and optimize AWS infrastructure (S3, Lambda, CloudWatch, VPC, Data Backup) and implement Infrastructure as Code (IaC) using Terraform.
Create and maintain CI/CD pipelines (Jenkins, GitHub Actions) and support deployment automation for development teams.
Work with Databricks and Snowflake platforms to manage and analyze large datasets.
Implement observability solutions (ELK), high availability, and disaster recovery (DR) plans.
Ensure platform security, interpret security policies, and promote secure coding practices throughout the development lifecycle.
Collaborate with software development teams to resolve technical issues, perform code reviews, and conduct root cause analysis of incidents.
Qualifications
5 to 8 years of experience in a DevOps role.
5 years of experience in an AWS environment (in-depth knowledge of S3, Lambda, VPC, etc.).
Strong hands-on experience with Terraform, Kubernetes, ELK, GitHub/GitHub Actions, and Jenkins.
Proficiency in Python.
Experience with Databricks and Snowflake.
Bilingualism (French and English) is required.
**Notre client exerce ses activités au Canada. L’entreprise prend toutes les mesures raisonnables pour limiter le nombre de postes au Québec exigeant la connaissance d’une langue autre que le français, et ne l’exige que lorsque cela est nécessaire et que ses employés bilingues actuels ne sont pas en mesure d’assumer ces fonctions.
Suite à une évaluation réalisée par notre client, il a été déterminé que ce poste exige la maîtrise de l’anglais (parlé et écrit). Plus particulièrement, l’employé devra interagir avec les services internes centralisés (p. ex., Opérations, Ressources humaines, Finances, Services juridiques, Contrats, Ventes) qui soutiennent l’organisation au Canada et qui ne parlent pas français.**
Major Assets:
Experience in a Big Data context.
Knowledge of the Machine Learning (ML) lifecycle.
Experience in security or SecOps.