Senior Cloud Devops Engineer
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Essential Functions / Key Areas of Responsibility Cloud Operations & Reliability Engineering
Operate and support production-grade, highly available IAM cloud services
Ensure availability, performance, resilience, and security of platforms
Participate in L2/L3 incident response, root-cause analysis, and post-incident reviews
Take part in a 24/7 follow-the-sun on-call rotation
Drive continuous improvements to operational stability and service quality
DevOps, Automation & Infrastructure as Code
Design, implement, and maintain Infrastructure as Code (IaC) using Terraform
Build and maintain CI/CD pipelines (GitLab)
Deploy and manage Kubernetes-based platforms (EKS, GKE, OpenShift)
Automate provisioning, deployment, validation, and rollback processes
Review DevOps code to ensure quality, security, and consistency
Observability & AIOps Initiatives
Implement monitoring, logging, and alerting using Datadog
Leverage AIOps capabilities for anomaly detection and alert correlation
Contribute to predictive analytics such as capacity forecasting and failure prevention
AI-Assisted Operations & Automation
Use AI-powered copilots for troubleshooting and diagnostics
Generate and improve operational documentation and runbooks using AI
Develop automated remediation and self-healing workflows
Integrate AI-assisted insights into operational workflows
Database & Platform Services (Supporting Role)
Contribute to upgrades, backups, HA/DR, and monitoring
Assist with data migrations where required
Ensure database security and performance
Produce design documents, runbooks, and operational proceduresCollaborate with Automation Architects, SREs, and R&D teams
Improve scalability, reliability, security, and cost efficiency
Follow ITIL-aligned operational processes
Operate in regulated and security-sensitive environments
5+ years operating cloud-based production systems
Hands-on Terraform and Infrastructure as Code expertise
CI/CD pipeline experience (GitLab)
AWS or GCP experience
Scripting and automation (Python, YAML, JSON, Bash)
Experience with observability tools
Preferred Qualifications
Experience with AIOps platforms or ML-assisted monitoring
AI-assisted DevOps or Cloud Operations exposure
IAM or regulated environment experience
ITIL or COBIT familiarity
Experience in globally distributed teams
Education
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
Additional Information
Location : Hybrid (Ottawa-500 Palladium) – 3 days per week in the office.
Work Schedule:
40 hours per week - Core hours: 9:00 a.m. – 5:00 p.m. EST
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