DevOps Engineer (Data Protection Services)

Axelon Services Corporation; Montreal (administrative region); Hybrid; CAD 90,000 - 110,000; Full time

Job summary

Axelon Services Corporation in Montreal is seeking a DevOps Engineer to support data security services, automate tasks, participate in DevOps activities, and join an on-call rotation.

The role requires scripting (Python, Linux shell), Git/Jenkins, Docker, Kubernetes, Linux and Windows OS, and cloud experience with Azure.

Qualifications

• Proficient in Python scripting and Linux shell.
• Experience with Git, Jenkins Pipeline and test automation.
• Strong hands-on with Docker and Kubernetes in cloud environments.

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.

Skills

Python

Linux shell

Git

Jenkins Pipeline

Test Automation

Docker

Kubernetes

Linux

Windows

Networking

Azure

Security best practices

AI SDLC

On-call rotation

Tools

Ansible

Terraform

Cloudify

Jira

Job description

Location: Montreal (Day 1 onboarding onsite/in office presence 3x/week)

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, hand-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.