Spearhead the implementation of Google’s Edge Platform across enterprise infrastructure
Advanced Google Cloud Platform (GCP) Architecture Design
Kubernetes and Container Orchestration Mastery
Build highly reusable and modular Terraform modules for multi-environment infrastructure deployments
Develop secure and automated CI/CD pipelines using tools like Cloud Build, GitHub Actions, Jenkins, or Spinnaker
Design and enforce robust Identity and Access Management (IAM) strategies using Workload Identity Federation, OIDC, and RBAC on GCP and GDCC
Integrate and manage GCP-native services such as Cloud Run, GKE, Cloud Functions, Secret Manager, and Pub/Sub
Leverage Anthos and GKE Enterprise for managing Kubernetes workloads across distributed environments
Drive infrastructure observability and logging using Cloud Monitoring, Logging, and Operations Suite
Collaborate with application, security, and DevOps teams to ensure compliance with cloud security and regulatory standards
Monitor and optimize cloud performance, cost, and scalability

7+ years in infrastructure architecture, DevOps, or cloud engineering roles
Deep, hands-on expertise with Terraform (advanced level), including reusable modules, remote state, and workspaces
Advanced knowledge of Google Cloud Platform (GCP) services and architectural patterns
Experience with GDCC (Google Distributed Cloud)
Strong understanding of Cloud IAM, RBAC, and Workload Identity Federation for secure authentication across services
Proficient in Python scripting for infrastructure automation and integration
Solid background in cloud security, including encryption, firewall policies, VPC design, and service accounts
Proven experience in building and maintaining CI/CD pipelines using Git-based workflows
Experience working in Agile/DevOps environments
Bachelor’s degree in computer science or engineering (preferred)
GCP and/or AWS Architect Certification (Associate or Professional level) (preferred)
Experience with Google Distributed Cloud Edge, Hosted, or Connected deployments & GKE (preferred)
Knowledge of container security, Kubernetes network policies, and multi-tenant workload design (preferred)
Familiarity with SRE practices, infrastructure SLAs/SLOs, and incident response automation (preferred)
Experience integrating secrets management, policy enforcement, and compliance monitoring (preferred)

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Edge Tech Lead

Key skills