Lead Cloud Engineer - GCP

LightFeather is seeking a Lead Cloud Engineer – GCP to take a pivotal role in architecting, automating, and managing secure cloud infrastructure within Google Cloud Platform (GCP) for high-impact federal programs. This is a leadership position focused on driving infrastructure automation, security, compliance, and cloud optimization across enterprise applications. As a hands-on technical leader, you will define the strategy for scalable GCP implementations, lead DevOps and automation initiatives, and work closely with cross-functional teams in a high-security, mission-critical environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Citizenship: U.S. Citizenship Required
• Clearance Requirement: Active Secret/Top Secret Security Clearance Required

Responsibilities:

Cloud Infrastructure Architecture & Management:

• Architect, deploy, and maintain scalable and secure GCP environments to support mission-critical enterprise applications.
• Lead the design and implementation of resilient cloud architectures that meet high-availability and disaster recovery requirements.

Infrastructure as Code & Automation:

• Develop and maintain automation scripts and templates using Terraform, Packer, Jenkins, and GitHub workflows.
• Champion Infrastructure as Code (IaC) practices to streamline provisioning, configuration, and deployment.

Security & Compliance:

• Enforce federal cloud security requirements by implementing IAM best practices, encryption, and monitoring tools such as GCP Security Command Center.
• Ensure full compliance with frameworks such as FedRAMP, FISMA, and NIST 800-53.

Networking & Hybrid Connectivity:

• Configure and manage VPCs, subnets, load balancers, Cloud Interconnect, and VPNs to support secure and high-performance connectivity.
• Design and troubleshoot hybrid and multi-cloud network architectures.

DevOps & CI/CD Pipeline Development:

• Lead CI/CD integration using Jenkins, GitHub Actions, Terraform, and Azure DevOps to support continuous delivery and infrastructure lifecycle management.
• Monitor infrastructure performance, automate deployments, and improve release velocity.

Cloud Optimization & Cost Management:

• Utilize tools like Harness Cloud Costs, Google Cloud Operations Suite (Stackdriver), and cost analytics to track usage and optimize cloud spend.

Incident Response & Troubleshooting:

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