DevOps Engineer (Data Protection Services)

Summary Duration: 12 months Work Mode: Hybrid Location: Montreal (Day 1 onboarding onsite/in office presence 3x/week) Responsibilities Perform engineering and operational activities supporting data security services, including service delivery, task automation, DevOps activities, and participation in an on-call rotation. Onboard new DevOps tools and maintain existing platforms to address business requirements and ensure effective integration with the company’s technology ecosystem. Collaborate with the Data Discovery Squad and broader Technology stakeholders to enhance services through automation, scripting, and effective observability solutions. Participate in design and code reviews across the Data Discovery Squad and relevant stakeholder groups. Contribute actively to the team’s Agile operating model, ceremonies, and delivery practices. Facilitate knowledge sharing across global Data Protection squads and chapters through clear documentation, presentations, and internal communications. Requirements 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 secure and governed use of AI across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight. Willing to work in on-call rotation. Preferred Skills 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. This role is for an existing vacancy.

The role involves performing engineering and operational activities for data security services, focusing on task automation and DevOps integration. Key duties include onboarding new tools, collaborating with the Data Discovery Squad, and participating in an on-call rotation.

Candidates must be proficient in Python, Linux, Docker, Kubernetes, and Azure DevOps, with a strong understanding of AI SDLC and cyber security controls. Experience with Agile delivery teams and the ability to work in a regulated environment are essential.

• KubernetesSouhaitée
• DockerSouhaitée
• LinuxSouhaitée
• TerraformSouhaitée
• GitSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

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

• Technology
• Software
• Security & Safety
• Engineering
• Data & Analytics

Expérience minimale

5+ ans

Postuler avant le

13 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

3 jours par semaine

Niveau d’expérience

Not Applicable

Mode de candidature

La candidature directe est offerte