Senior DevOps

Pay at Intact is about much more than just salary.

• Flexible work arrangements and a hybrid work model

• Possibility to purchase up to 5 extra days off per year

• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

101,800 - 124,400

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

We are looking for a senior DevOps to join our team at Intact’s Data Lab, one of the largest data science laboratories in the country.

As part of a product team working in a Data and AI environment, you will contribute to the implementation and evolution of the tools, pipelines, and environments that enable the team to develop, deliver, and operate its solutions efficiently, reliably, securely, and continuously.

You will work closely with data engineering teams, data scientists, developers, and centralized platform teams to ensure alignment with the organization’s technology standards, tools, and practices.

Our technology environment includes, among others: AWS (S3, Lambda, CloudWatch, VPC, AWS Backup, SageMaker, SQS, SNS), Databricks, Snowflake, Terraform, GitHub/GitHub Actions, GitLab, Jenkins, and Python.

What you'll do here:

• Design, implement, and maintain continuous integration and continuous deployment (CI/CD) pipelines, and automate the development and deployment lifecycle.
• Contribute to the design, implementation, operation, and improvement of the DevOps solutions and environments used by the team.
• Implement and maintain infrastructure as code (IaC), and contribute to the management of cloud environments and internal infrastructure.
• Collaborate with centralized platform teams to integrate the organization’s capabilities and standards into the team’s solutions.
• Contribute to the management of access, permissions, secrets, and certificates, and integrate security practices into pipelines and infrastructure.
• Implement and maintain the observability, monitoring, and alerting mechanisms required to ensure the health and reliability of platforms and services.
• Contribute to operational reliability, incident resolution, root-cause analyses, and operational documentation.
• Contribute to the continuous improvement of automation, reliability, security, operational efficiency, and cloud resource utilization.

What you bring to the table:

• Five (5) or more years of relevant DevOps experience, particularly in AWS cloud environments.
• Experience with CI/CD, automation, and infrastructure as code (IaC).
• Strong knowledge of cloud computing, networking, security, observability, and operational reliability.
• Strong proficiency in Python.
• Autonomy, problem-solving skills, and the ability to collaborate with multidisciplinary teams.
• Bachelor’s degree in computer science, computer engineering, or an equivalent combination of education and experience.
• Bilingualism (French and English) - Need to interact regularly with colleagues from across the country.
• No Canadian work experience required however must be eligible to work in Canada.

Experience in a Data or AI environment is considered an asset. The position level may be adjusted based on the candidate’s experience and expertise.

#LI-Hybrid

Ce poste jouera un rôle essentiel au sein de notre équipe. | This position will fill an essential role in our team.