Senior Developper (DevOps), Machine Learning Specialist (French Services) (Telework)

Job title:

Senior Developper (DevOps), Machine Learning Specialist (French Services) (Telework)

Company

CBC/Radio-Canada

Job description

Position Title: Senior Developper (DevOps), Machine Learning Specialist (French Services) (Telework)Status of Employment: Contractee Long-Term (Fixed Term)Position Language Requirement: FrenchLanguage Skills: French (Reading), French (Speaking), French (Writing)Work at CBC/Radio-CanadaAt CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.Unposting Date: 2024-09-18 11:59 PMWhy work at CBC/Radio-Canada?When you come to CBC/Radio-Canada, you’re not only joining the undisputed leader in expressing Canadian culture – you’re also participating in its digital revolution. Here, you’ll actively contribute to creating innovative projects on our major platforms and will find a stimulating, state-of-the-art and team-focused work environment.This is a position that offers the possibility of full-time remote work. The work arrangements will be discussed with the hiring managers according to the guidelines set by the sector.Your roleWould you like to join a dynamic team of approximately 150 web developers, including Backend, Frontend, mobile, QA, and more?As a DevOps, your mission will be to participate in the evolution and maintenance of a robust and scalable infrastructure, entirely deployed as Infrastructure as Code (IaC) on Azure. You will primarily be at the heart of initiatives related to Machine Learning (ML), working closely with the ML and Big Data teams to support them in improving DevOps and MLOps best practices. Therefore, we are looking for someone passionate about technologies and practices associated with ML, with strong teamwork skills. Part of your job will also involve supporting the Web development teams.Benefits and Work Environment

• Salary compensation for contract employees
• Competitive group insurance
• Remote work tailored to employees’ needs
• Casual dress code

Key Responsibilities:ML-Specific Responsibilities:

• Assist ML collaborators, whether they are data specialists or developers, in implementing MLOps best practices in terms of deployment, automation, monitoring, and security.
• Support ML collaborators in setting up automated pipelines for training, validation, and deployment of models.
• Assist ML collaborators in developing scripts and automation and maintenance tools.
• Support ML collaborators in solving issues related to deployment and infrastructure.

DevOps Responsibilities:

• Respond to requests from development teams regarding deployment and infrastructure.
• Participate in resolving production issues or production environment concerns by monitoring the JIRA service desk.
• Design, develop, and maintain CI/CD pipelines to automate deployment processes.
• Create and maintain Terraform/TerraSpace templates for provisioning infrastructure on Azure.
• Participate in various stages of maintenance for development and production infrastructure.
• Implement scripts and tools to support the automation of deployment, monitoring, and infrastructure management.
• Collaborate with development teams to integrate DevOps best practices into the software development lifecycle.
• Work with the SRE team to analyze and remedy performance issues identified in production.
• Configure and manage development, test, and production environments.
• Respond quickly to alerts and resolve incidents to minimize downtime.
• Participate in incident management and problem resolution.
• Implement and maintain up-to-date security measures to protect applications and infrastructure.

You may be required to do paid on-call work.Position Requirements:

• University degree or equivalent experience
• At least 4 years of experience in DevOps, Sysadmin, or Web development
• At least 2 years of experience with ML technologies, Big Data, and Data Science
• Good knowledge (at least 2 years) of Python
• Knowledge of Golang an asset
• Good understanding of DevOps and MLOps workflows
• Familiarity with ML as a Service platforms such as Azure ML, Amazon SageMaker, or Google Vertex AI, or experience in developing MLOps automation feedback with other tools
• Passion for issues and new developments in the world of DevOps / MLOps / SecOps
• Good knowledge of Azure and Azure DevOps (ADO)
• Good knowledge of Kubernetes and Helm for application deployment and management
• Familiarity with Terraform and Infrastructure as Code principles
• Knowledge of Git for source code management
• Knowledge of Bash, Ansible an asset
• Knowledge of Azure Databricks an asset
• Rigorous, autonomous, proactive, and resourceful
• Proficiency in French and functional knowledge of written and spoken English an asset

Candidates may be subject to skills and knowledge testing.We thank all applicants for their interest, but only candidates selected for an interview will be contacted.CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity. That’s because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country. That’s why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster. For more information, visit the of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to .You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our . All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on . In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest.Primary Location: 1000, Rue Papineau, Montreal, Quebec, H2K 0C2Number of Openings: 1Work Schedule: Full time

Expected salary

Location

Montreal, QC

Job date

Sat, 07 Sep 2024 06:10:57 GMT

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