[Remote] Zscaler resource specialized with ZIA / ZPA

Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced Cloud Security Engineer to design, implement, and manage cloud network security controls in Google Cloud Platform. The role focuses on delivering Infrastructure-as-Code (IaC) using Terraform, integrated into Azure DevOps Pipelines and GitHub Actions, while also requiring expertise in Google Cloud security services.

Responsibilities

• Design, implement, and manage cloud-native network security controls in Google Cloud Platform, including:
• Google Cloud Platform VPC Service Controls (VPC-SC)
• Google Cloud Platform Cloud Armor (DDoS/WAF protection)
• Google Cloud Platform Cloud Next-Gen Firewall (NGFW Enterprise) with IPS/IDS Zscaler Cloud Connector
• Develop, maintain, and scale Terraform-based Infrastructure-as-Code modules for cloud infrastructure and security policies
• Build, enhance, and manage CI/CD automation using Azure DevOps Pipelines and GitHub Actions
• Author clear documentation, runbooks, and deliver knowledge transfers and training to operational and engineering teams
• Collaborate cross-functionally with cloud, security, and development teams to ensure secure, scalable solutions
• Participate in agile ceremonies for planned project work and provide rapid incident response during P0–P3 security/networking events

Skills

• U.S. citizenship is required (by birth or naturalization); s are not eligible
• Work must be performed within the United States (onshore only; no offshore work permitted)
• 5+ years of hands-on experience as a Cloud Engineer or Cloud Security Engineer
• 3+ years of hands-on experience with Google Cloud Platform network security services, including VPC Service Controls (VPC-SC), Cloud Armor, and NGFW with IPS/IDS
• Strong expertise in Terraform (designing reusable modules, managing state, enterprise workflows)
• Proficiency in CI/CD tools: Azure DevOps Pipelines and GitHub Actions
• Scripting proficiency (PowerShell, Bash, or Python) for automation and troubleshooting
• Demonstrated experience documenting technical solutions, producing clear runbooks, and performing knowledge transfers to enable operational adoption
• Strong troubleshooting and incident response skills in cloud environments
• Experience integrating AI/ML and agentic platforms (e.g., Anthropic Claude or similar) into DevOps pipelines to automate processes, improve operational efficiency, and accelerate delivery timelines
• Experience with additional CI/CD platforms (e.g., GitLab CI, Jenkins, CircleCI) and configuration management tools (e.g., Ansible)

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