Role OverviewSenior DevOps Engineer – AI Engineering Team at Intact Data Lab, Toronto office. This role focuses on building and maintaining cloud‑based AI pipelines, ensuring reliable infrastructure, and collaborating with data and software teams.Responsibilities- Assist in managing and maintaining the AI platform.- Utilize AWS services (S3, Lambda, CloudWatch, VPC, Data Backup, AWS Backup) to manage and optimize cloud infrastructure.- Support the development team on operational aspects of the AI and data pipeline.- Implement infrastructure as code using Terraform, GitHub, GitHub Actions, and Jenkins.- Work with Databricks and Snowflake to manage and analyze large datasets.- Create and maintain continuous integration and continuous deployment pipelines.- Collaborate with teams to improve automation and support current initiatives.- Contribute to proof‑of‑concept projects to validate new ideas.- Assist in root‑cause analysis of production incidents and develop action plans.- Recommend technologies and tools for integration across product stacks.- Interpret security policies and ensure platform designs follow security guidelines.- Promote secure coding practices throughout the development lifecycle.- Implement observability, best practices, and KPIs in solutions.- Help implement high‑availability solutions, disaster recovery, and data backups.- Participate in problem‑management activities to identify improvements.- Support frequent and seamless deployments with software teams.Qualifications- Bachelor’s degree in computer science, computer engineering, or equivalent combination of education and experience.- 5–8 years of experience in a DevOps role.- 5 years of experience in an AWS cloud environment with in‑depth knowledge of S3, Lambda, CloudWatch, VPC, Data Backup, and AWS Backup.- Hands‑on experience with Terraform, Kubernetes, ELK, GitHub, GitHub Actions,



and Jenkins.- Proficiency in Python.- Experience with Databricks and Snowflake.- Experience in a Big Data context is a significant asset.- Experience in security or SecOps is a significant asset.- Knowledge of the machine‑learning cycle is an asset.- Strong communication, collaboration, and customer‑orientation skills.- Creative, innovative, and strong problem‑solving abilities.- Adaptable, flexible, and detail‑oriented in a fast‑paced environment.- Self‑starter who can drive initiatives from start to finish.- For Quebec candidates: bilingualism required due to regular interaction with English‑speaking colleagues.- Eligible to work in Canada; no Canadian work experience required.Benefits & Compensation- Salary range (35‑hour workweek): 101,800 – 124,400 CAD.- Annual bonus target: 12% of base salary, with potential payout up to double the target.- Share plan & other savings: up to 12% of salary or more (share purchase plan with Intact matching 50% of net shares).- Flexible work arrangements and hybrid work model.- Possibility to purchase up to 5 extra days off per year.- Benefits supporting physical and mental wellbeing, including telemedicine and wellness account.- Pension offerings provide flexibility and long‑term security.Equal Opportunity & AccessibilityIntact is an equal‑prospect employer. We strive to create an accessible workplace where employees feel valued, included, and encouraged to share their unique perspectives. We encourage applications from individuals who are members of equity‑deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community. We provide workplace adjustments (accommodations) for people with disabilities. If you need an accommodation during the recruitment process, please let us know. We do not provide sponsorship for immigration‑related matters; candidates must be eligible to work in Canada from the anticipated start date and throughout their employment.#J-18808-Ljbffr

📌 Senior Devops - Ai - C$101,800 - C$124,400 A Year (Toronto)
🏢 Intact Data Lab
📍 Toronto