Role: DevOps Engineer - L4
Location: Toronto, On
Full Time Onsite
Advanced DevOps expertise
beyond basic setup and deployment
Cloudflare
configuration and management
SOC (Security Operations Center) integration
knowledge
Proxy setup
and
DNS management
Docker
containerization experience
System patching
and maintenance
Strong hands-on in Azure DevOps and Jenkins pipelines
Skills \& Experience:
Minimal 8 years of experience in configuring and supporting CI/CD Pipelines.
Minimum 8 years of experience working on Cloud platforms (Azure, GCP).
Expertise in creating fully automated CI/CD pipelines using Azure DevOps, Azure Repos, GitHub, Jenkins and MS Build.
Solution architecture, IaC, Cloud platform (GCP), Terraform, Docker, programming (python)
Experience \> 2 years in cloud platform engineering.
Infrastructure management lifecycle
Facilitate cross team collaboration.
Contribute to technical changes \& incident solving.
Good knowledge and experience on DevOps Tools like Jenkins, Terraform, SonarQube, Bitbucket, GitHub, JIRA, Confluence, Splunk, ELK, Dynatrace, Ansible, Azure DevOps
Good knowledge and experience in Containerization and Orchestration using Docker \& Kubernetes
Primary responsibilities
Enable Cloudflare Proxy for existing application
Linux OS patching for VM servers
GCP and AWS network log forwarding setup to SOC monitoring system
Configure infrastructure for AGS.
Contribute to the design of an auth solution making use of IAP and BigQuery RLS
Document deployed solutions through architecture diagrams
Setup CI/CD on GitHub/GCP and adapt to teams need.
Design, implement full-stack DevOps pipelines. Lead tool evaluations, competitive analysis working closely with the IT \& business teams to align with business goals.
Creating Repository, Branches tags operation in Git Administration version control system
Creating CI/CD pipelines by using continuous integration tool Azure DevOps/Jenkins/GitHub, Continuous pre and post build actions as per project requirement. Configuring and scheduling the build jobs in Azure
Creating Ansible and Terraform script which includes terraform templates for Azure cloud service.
Integrate AI/ML models into DevOps workflows for predictive monitoring, intelligent alerting, and automated remediation. Applied generative AI for code generation, documentation automation, and knowledge base enrichment.
Enable agile transformation and compliance integration across CI/CD pipelines.
Mentor cross-functional teams on DevOps tools and best practices.
Integrate AI-driven compliance checks into CI/CD pipelines to enhance security and reduce manual audits.
Excellent problem-solving skills to identify and resolve complex technical issues, and analytical skills to understand business requirements and translate them into technical solutions.