CyberX Info System · 2 hours ago
Lead DevOps Engineer GCP (FedRAMP)
CyberX Info System is seeking a Lead DevOps Engineer to manage and optimize staging and production deployment environments within the federal sector. This role involves deploying and maintaining cloud infrastructure across multiple platforms, ensuring compliance for government workloads, and automating infrastructure provisioning.
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Responsibilities
Cloud Infrastructure Management: Deploy, manage, and maintain cloud infrastructure across AWS, Azure, and/or GCP, ensuring compliance for government workloads
Infrastructure Automation: Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, OpenTofu, or AWS CloudFormation
Deployment Pipeline Streamlining: Collaborate with development teams to streamline CI/CD pipelines using tools such as GitLab and OpenTofu for efficient infrastructure and application delivery
Performance Optimization: Monitor system performance, participate in capacity planning, and optimize application and infrastructure performance by tuning configurations and identifying bottlenecks
Automation Development: Develop scripts and tools to automate routine operations, including patching, scaling, and monitoring
Qualification
Required
Candidate will be required to pass Federal clearance (Must)
GCP (especially GKE) — real-world experience
Kubernetes Administration (Deep, hands-on, production)
Terraform & OpenTofu expert level
Google Cloud GCP
Container Orchestration
Security, Compliance & FedRAMP
Cloud Infrastructure Management: Deploy, manage, and maintain cloud infrastructure across AWS, Azure, and/or GCP, ensuring compliance for government workloads
Infrastructure Automation: Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, OpenTofu, or AWS CloudFormation
Deployment Pipeline Streamlining: Collaborate with development teams to streamline CI/CD pipelines using tools such as GitLab and OpenTofu for efficient infrastructure and application delivery
Performance Optimization: Monitor system performance, participate in capacity planning, and optimize application and infrastructure performance by tuning configurations and identifying bottlenecks
Automation Development: Develop scripts and tools to automate routine operations, including patching, scaling, and monitoring