Senior DevOps Engineer

Project Scope:

The Senior DevOps Engineer will join the Data Engineering team to support multiple Data & AI initiatives, focusing on the development, deployment, security, and operational efficiency of cloud-based data pipelines.

The role involves working across AWS and GCP environments, implementing Infrastructure as Code (IaC), automating CI/CD processes, and ensuring scalable, secure, and reliable data solutions.

Key Responsibilities:

• Support development teams with the operational aspects of data pipelines.
• Design, implement, and maintain scalable and secure cloud infrastructure.
• Manage and optimize AWS services, including S3, Lambda, CloudWatch, VPC, and AWS Backup.
• Implement Infrastructure as Code using Terraform.
• Develop and maintain CI/CD pipelines using GitHub, GitHub Actions, and Jenkins.
• Support cloud infrastructure across AWS and GCP (BigQuery and GCS).
• Promote security best practices and secure coding throughout the development lifecycle.
• Work with Databricks and Snowflake environments to support data engineering initiatives.
• Collaborate with cross-functional teams to resolve complex technical challenges.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement.

Team:

• Data Engineering team focused on building efficient, scalable, and secure data pipelines.
• Multiple Data & AI initiatives leveraging modern cloud technologies.
• Agile/Scrum environment.
• Collaborative, cross-functional team with a strong focus on innovation, security, and operational excellence.

Top Requirements needed:

• DevOps Experience: 5-8 years of hands-on experience in a DevOps role, with a strong software engineering background.
• AWS: Minimum 5 years of experience with AWS cloud infrastructure, including S3, Lambda, CloudWatch, VPC, Data Backup, and AWS Backup.
• Infrastructure as Code: Strong hands-on expertise with Terraform.
• CI/CD: Proven experience with GitHub, GitHub Actions, and Jenkins.
• Programming: Strong proficiency in Python.
• Cloud Operations: Experience developing, deploying, maintaining, and optimizing solutions in cloud environments.
• Security: Strong understanding of secure coding practices, infrastructure security, and DevOps security principles.
• Software Engineering Mindset: Strong focus on automation, operational reliability, maintainability, and security.
• Communication: Excellent collaboration skills, customer orientation, and ability to work effectively with cross-functional teams.
• Education: Bachelor's degree in Computer Science, Software Engineering, or equivalent education and experience.
• Languages: Bilingual French and English.
• Work Authorization: Must be eligible to work in Canada; previous Canadian work experience is not required.

Nice-to-Haves:

• Experience with GCP, particularly BigQuery and Google Cloud Storage (GCS).
• Experience with Databricks and Snowflake.
• Previous experience working in Big Data / Data Engineering environments.
• Strong background in SecOps / DevSecOps.
• Experience supporting complex Data & AI initiatives.
• Experience working in Agile/Scrum environments.
• Creative problem-solving skills, adaptability, and a continuous improvement mindset.