DevOps Engineer

Vancouver, Greater Vancouver

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 24, 2026
Province: British Columbia (BC)

Hiring confidence: Sparse posting · 11/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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Description DevOps Engineer The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects advanced threats with AI-powered automation. Thousands of organizations worldwide trust Varonis to defend their data wherever it lives — across SaaS, IaaS, and hybrid cloud environments. Customers use Varonis t…

This role is based in British Columbia. Varonis is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in British Columbia

Average salary for DevOps Engineer in British Columbia

We do not have a salary benchmark for this title in British Columbia yet. The posting does not state a salary either.

NOC code

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Typical qualifications for Canadian employers

Experience with cloud platforms (AWS, Azure, or GCP)
Proficiency in scripting languages (Python, Bash)
Knowledge of containerization and orchestration tools
Experience with CI/CD pipelines
Understanding of infrastructure as code

Fit check

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What you'll do

Design and maintain cloud infrastructure
Implement and manage CI/CD pipelines
Automate deployment and infrastructure processes
Monitor system performance and health
Troubleshoot and resolve infrastructure issues
Collaborate with development teams
Ensure security and compliance of infrastructure
Manage containerized applications and orchestration

What you'll need

Experience with cloud platforms (AWS, Azure, or GCP)
Proficiency in scripting languages (Python, Bash)
Knowledge of containerization and orchestration tools
Experience with CI/CD pipelines
Understanding of infrastructure as code
Familiarity with monitoring and logging tools
Strong problem-solving skills