DevOps Engineer – Data Protection Services

Axelon Services Corporation; Montreal; Hybrid; CAD 80,000 - 105,000; Full time

Benefits offered by this job

Hybrid work model

Learning opportunities

Open and inclusive environment

Job summary

Axelon Services Corporation is seeking a DevOps Engineer to support data security services, automate tasks, and participate in on‑call rotations. You will onboard DevOps tools and ensure seamless integration with the tech ecosystem.

Work is hybrid (on-site 3x/week) in Montreal, with collaboration across Data Discovery Squad and global teams. A strong focus on automation, observability, and secure AI lifecycle practices is expected.

Qualifications

• Proficiency in Python and Linux Shell scripting.

Responsibilities

• Perform engineering and operational activities supporting data security services, including service delivery, task automation, DevOps activities, and participation in an on-call rota.
• 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 Cloud

Public Cloud

Cybersecurity

AI SDLC

On-call

Tools

Docker

Kubernetes

Terraform

Ansible

Grafana

Splunk

Job description

• Perform engineering and operational activities supporting data security services, including service delivery, task automation, DevOps activities, and participation in an on-call rota.
• 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.

Summary

• Experience Level: Minimum 2 years
• Location: Montreal
• Work Mode: Hybrid (onsite 3x/week)
• Duration: 12 Months contract

Responsibilities

• Perform engineering and operational activities supporting data security services, including service delivery, task automation, DevOps activities, and participation in an on-call rota.
• 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: In-depth knowledge of Linux, Windows
• Networking: Network configuration and debugging
• Cloud: Azure Dev/DevOps, Public Cloud management
• Security Practices: Knowledge of critical cybersecurity controls
• AI Software Development Lifecycle (AI SDLC): Working knowledge of secure and governed use of artificial intelligence
• 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

Benefits

• Broaden technical expertise through challenging engineering initiatives and the application of emerging technologies, including cloud data governance.
• Develop a deeper understanding of the financial services industry through engagement with business stakeholders.
• Contribute within an open and inclusive environment where informed perspectives and meaningful contributions are encouraged.

This role is for an existing vacancy.