DevOps Engineer – Data Protection Services
- Montreal, QC, Canada
$55.17 USD / hour
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Job details
- Pay
- $55.17 USD / hour
- Apply by
- Experience
- Experience Level: Minimum 2 years
- Posting language
- English
- Posted
Original job description
- Experience Level: Minimum 2 years
- Location: Montreal
- Work Mode: Hybrid (onsite 3x/week)
- Duration: 12 Months contract
- 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.
- 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
- Cloud: M365, AWS, etc.
- Orchestration: Ansible, Terraform, Cloudify, other IaC
- SRE: Flux, Grafana, Splunk
- Agile: Jira
- Products: BigID, Securiti
- 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.
More about this job
Responsibilities
Support and operate data security services by delivering engineering work, automating tasks, maintaining and integrating DevOps platforms, and participating in an on-call rotation. Collaborate with Data Protection stakeholders on automation, observability, design and code reviews, Agile delivery, and knowledge sharing.
Requirements
At least two years of experience is required, along with scripting skills in Python and Linux Shell and hands-on knowledge of DevOps tools, orchestration, operating systems, networking, and Azure or public cloud management. Candidates should understand critical cybersecurity controls and secure, governed AI development, and be willing to join an on-call rotation; experience with tools such as Terraform, Grafana, Splunk, Jira, BigID, or Securiti is preferred.
Skills
- Python
- Linux Shell
- Git
- Jenkins Pipeline
- Test Automation
- Docker
- Kubernetes
- Linux
- Windows
- Network Configuration and Debugging
- Azure DevOps
- Public Cloud Management
- Cybersecurity Controls
- Artificial Intelligence Security
- Ansible
- Terraform
Benefits
- Broaden Technical Expertise
- Develop Financial Services Industry Knowledge
- Open and Inclusive Work Environment
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Security & Safety
- Engineering
Keywords
- Data Protection
- Data Security
- DevOps
- Python
- Linux Shell
- Git
- Jenkins Pipeline
- Test Automation
- Docker
- Kubernetes
- Linux
- Windows
- Network Configuration
- Network Debugging
- Azure DevOps
- Public Cloud Management
- Cybersecurity Controls
- Artificial Intelligence Security
- Ansible
- Terraform
- Cloudify
- Infrastructure as Code
- Flux
- Grafana
- Splunk
- Jira
- BigID
- Securiti
- Agile
- Observability