DevOps Engineer, Enterprise MLOps

CIBC • Toronto, ON

5d • Hybrid

About The Position

Joining CIBC’s AI Infrastructure & ML Ops team as a DevOps Engineer, you’ll play a key role in advancing our enterprise MLOps capabilities. As a DevOps Engineer, you’ll design, build, and maintain robust CI/CD pipelines using GitHub Actions, integrating enterprise security solutions to safeguard our AI and ML workloads. You’ll develop secure Databricks pipelines to support model training, validation, and deployment, embedding automated security checks and policy enforcement throughout. Collaborating closely with Security, ML Platform, and Infrastructure teams, you’ll ensure our pipelines meet regulatory and enterprise standards. You’ll also contribute to documentation, reference architectures, and reusable pipeline templates, driving reliability, observability, and performance in our ML operations. At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

Requirements

• 5+ years of experience designing and maintaining CI/CD pipelines and automation in enterprise environments.
• Skilled DevOps practitioner with strong technical expertise.
• Proficient in Python, GitHub Actions, Databricks pipelines, and DevOps fundamentals including infrastructure automation, monitoring, and logging.
• Hands-on experience integrating security tools into CI/CD pipelines (SAST, DAST, dependency scanning, container scanning).
• Understand secure software supply chain practices and zero-trust principles.
• Experienced in MLOps.
• Practical knowledge of MLOps platforms, ML lifecycle management, and AI/ML security controls such as red teaming and adversarial testing.
• Familiar with regulated environments.
• Understand the requirements of operating in financial services or other regulated, enterprise-scale platforms.
• Collaborative and adaptable.
• Thrive in cross-functional teams and are comfortable aligning with evolving security and regulatory standards.
• Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

Responsibilities

• Design, build, and maintain CI/CD pipelines using GitHub Actions for both application and MLOps workloads.
• Embed enterprise security tools (such as Palo Alto AIRS and Snyk) and automated model scanning, red teaming, vulnerability detection, and dependency checks into pipeline workflows.
• Develop and maintain Databricks pipelines to support secure ML model training, validation, and deployment.
• Implement policy-as-code and security guardrails to ensure consistent enforcement across all pipelines.
• Work closely with Security, ML Platform, and Infrastructure teams to meet enterprise security standards and regulatory requirements.
• Enhance pipeline reliability, observability, and performance through automation, monitoring, and best practices.
• Contribute to documentation, reference architectures, and reusable pipeline templates for team-wide adoption.

Benefits

• competitive salary
• incentive pay
• banking benefits
• a benefits program
• defined benefit pension plan
• an employee share purchase plan
• a vacation offering
• wellbeing support
• MomentMakers, our social, points-based recognition program
• Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed