DevOps Engineer

The Data Protection (DP) group executes the Firm’s Data Cybersecurity Strategy by designing, engineering, deploying, and operating enterprise-wide data security capabilities. Guided by architectural rigor, automation, and Agile delivery, the group ensures that users and business partners seamlessly adopt and effectively integrate core Data Protection Services controls across the organization. Location: Montreal (Day 1 onboarding onsite/in office presence 3x/week) Must have: Scripting: Python, Linux Shell DevOps: Git, Jenkins Pipeline, Test Automation Orchestration: Docker, Kubernetes OS: Linux (in-depth), Windows Networking: network configuration and debugging Cloud: Azure Dev/DevOps, Public Cloud management Security Practices: Knowledge of critical cyber security controls AI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of artificial intelligence across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight. Willing to work in on-call rotation Would Be Nice: Cloud: M365, AWS, etc. Orchestration: Ansible, Terraform, Cloudify, other IaC SRE: Flux, Grafana, Splunk Agile: Jira Products: BigID, Securiti Professional Skills Demonstrated experience working effectively within Agile delivery teams. Proven experience integrating products into enterprise environments, including the deployment and integration of open-source products and tools using DevOps methodologies. Working knowledge of IT Service Management principles and ITIL practices. Ability to acquire and apply knowledge of proprietary technologies within a complex, regulated environment. A self-directed approach, supported by demonstrable experience in the technical and application support of enterprise systems. Excellent written and verbal communication skills, together with a professional and collaborative working style. A strong automation and orchestration mindset, with a focus on reducing manual processes and enabling product squads to devote greater capacity to engineering activities. Attributes A strong professional interest in automation, DevOps, and site reliability engineering. Comfort working within delivery models that use frequent, incremental code testing and deployment. A practical, hands-on approach to implementing DevOps processes from requirements analysis and test design through automation and results analysis. Accountability for the quality and timeliness of assigned deliverables. The ability to communicate material issues, risks, and progress updates accurately, clearly, and in a timely manner.

Design, engineer, and operate enterprise-wide data security capabilities to execute the firm's Data Cybersecurity Strategy. Focus on automating and orchestrating data protection services to ensure seamless integration across the organization.

Requires proficiency in Python, Linux, Docker, Kubernetes, and Azure DevOps, along with knowledge of AI SDLC and cybersecurity controls. Candidates must have experience in Agile delivery and be willing to participate in an on-call rotation.

• KubernetesPreferred
• DockerPreferred
• AgilePreferred
• LinuxPreferred
• TerraformPreferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Linux Shell
• Git
• Jenkins Pipeline
• Test Automation
• Docker
• Kubernetes
• Linux
• Windows
• Azure Devops
• Public Cloud Management
• Cyber Security Controls
• AI SDLC
• Ansible
• Terraform
• Agile

• Security & Safety
• Technology
• Software
• Engineering
• Finance & Accounting

Minimum experience

5+ years

Apply by

Sep 12, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available