Data Protection DevOps Engineer — AI SDLC & Cloud (Montreal)

Randstad Enterprise; Montreal (administrative region); Hybrid; CAD 90,000 - 140,000; Full time

Job summary

Randstad Enterprise in Montreal is seeking a Data Protection and DevOps professional to design, deploy, and operate enterprise-wide data security capabilities. You will join a team delivering secure, governed AI and cloud solutions in a regulated environment, with on-call rotation and hybrid onsite presence in Montreal.

The role emphasizes automation, orchestration, and integration of Open Source tools within enterprise ITIL practices, while collaborating closely with product squads to reduce

Qualifications

• Experience delivering DevOps and security-focused data protection solutions in Agile teams.
• Strong automation and orchestration experience with enterprise deployments.
• Familiarity with ITIL and IT service management principles.
• Ability to work in a regulated environment with human oversight for AI.

Skills

Agile delivery

DevOps

Automation mindset

Site Reliability Engineering

Communication skills

On-call readiness

On-site collaboration

Tools

Azure DevOps

Ansible

Terraform

Jira

BigID

Securiti

Cloud management

Job description

Randstad Enterprise in Montreal is seeking a Data Protection and DevOps professional to design, deploy, and operate enterprise-wide data security capabilities. You will join a team delivering secure, governed AI and cloud solutions in a regulated environment, with on-call rotation and hybrid onsite presence in Montreal.

The role emphasizes automation, orchestration, and integration of Open Source tools within enterprise ITIL practices, while collaborating closely with product squads to reduce