Senior Azure Cloud Ops Lead — AKS, Terraform & DevOps

Socket.dev

Toronto

Hybrid

CAD 154,000 - 189,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Annual bonus potential
Generous paid time off
Wellness benefits
Career growth opportunities

Job summary

Zafin is seeking a Lead Cloud Operations Engineer to lead a team of cloud engineers in Azure/Kubernetes environments. The role focuses on scalable infrastructure, automation, and best practices with a hands-on, mentoring approach.

You will design IaC with Terraform, manage AKS deployments, and ensure security, performance, and cost efficiency while supporting multiple time zones in a hybrid work model.

Qualifications

  • 8–12 years of cloud/infrastructure engineering experience.
  • 5+ years of Azure cloud platform experience (VMs, networking, identity, monitoring).
  • 5+ years with Kubernetes, specifically AKS production experience.
  • Strong IaC practices with Terraform and CI/CD tooling.
  • Experience with GitOps deployment patterns and Helm.
  • Degree in Computer Science or Engineering or equivalent hands-on experience.

Responsibilities

  • Lead technical strategy and best practices for Azure cloud operations and AKS deployments.
  • Design, implement, and maintain IaC pipelines with Terraform and Azure DevOps.
  • Mentor junior engineers and drive automation to reduce toil.
  • Oversee security, cost optimization, and compliance across client environments.

Skills

Azure AKS
Terraform IaC
ArgoCD
GitOps
Helm
Azure DevOps
Python scripting
Linux admin
Networking
Mentoring

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes
Docker
Prometheus
Grafana
Azure Key Vault
ACR

Job description

Zafin is seeking a Lead Cloud Operations Engineer to lead a team of cloud engineers in Azure/Kubernetes environments. The role focuses on scalable infrastructure, automation, and best practices with a hands-on, mentoring approach.

You will design IaC with Terraform, manage AKS deployments, and ensure security, performance, and cost efficiency while supporting multiple time zones in a hybrid work model.

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