Cloud AI Engineer - TS/SCI clearance - travel role

Cloud AI Engineer (Mid-Level)

Location: Various U.S. Federal Client Sites (Onsite)
Travel: Travel required to customer sites throughout the Continental U.S.
Salary: $105,000 – $115,000 (DOE)
Clearance: Active TS/SCI or the ability to obtain a TS/SCI clearance required. U.S. Citizenship is required.

About PGTEK

PGTEK is a trusted provider of enterprise cloud modernization, AI, and infrastructure solutions supporting U.S. Federal Government agencies. As we continue expanding our Google Cloud and AI practice, we’re looking for a Cloud AI Engineer to help lead the migration of mission-critical applications into secure Google Cloud environments.

This role is ideal for engineers with Google Cloud or comparable cloud platform experience who enjoy solving complex technical challenges while working with the latest cloud and AI technologies.

Position Summary

As a Cloud AI Engineer, you will design, implement, and manage secure, scalable Google Cloud solutions supporting federal customers migrating legacy infrastructure into Google Cloud and Gemini for Government environments. You’ll own cloud migration projects from architecture through deployment while providing technical guidance to Associate Cloud AI Engineers.

Working within highly secure FedRAMP and DoD environments, you’ll help build modern cloud platforms using automation, Infrastructure as Code, Kubernetes, enterprise AI, and Google Cloud best practices.

Responsibilities

• Design secure, scalable Google Cloud Platform (GCP) solutions for federal customers
• Lead cloud migration planning and execution from legacy infrastructure to Google Cloud
• Architect highly available cloud infrastructure supporting mission-critical workloads
• Design and deploy Google Cloud networking, storage, compute, and security services
• Implement Google Cloud Assured Workloads environments
• Design VPCs, hybrid connectivity, load balancing, storage lifecycle policies, and secure network architectures
• Configure IAM, Cloud KMS, Organization Policies, VPC Service Controls (VPC-SC), and encryption services
• Deploy and support Google Kubernetes Engine (GKE), Cloud Run, and serverless workloads
• Design and administer Gemini Enterprise applications, AI services, and Model Garden integrations
• Build Infrastructure as Code (Terraform) and CI/CD deployment pipelines
• Utilize Google Cloud SDK, automation tools, and scripting to deploy cloud resources
• Implement monitoring, logging, observability, and operational best practices
• Support FedRAMP High, DoD IL4/IL5, and secure government cloud environments
• Mentor Associate Cloud AI Engineers and provide technical guidance throughout project delivery
• Collaborate with architects and customer stakeholders to deliver successful cloud modernization initiatives

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related STEM field (or equivalent practical experience)
• 3–5 years of experience designing and supporting Google Cloud Platform or comparable enterprise cloud environments
• Experience migrating enterprise workloads from on-premises infrastructure to public cloud
• Strong understanding of cloud networking, identity management, storage, compute, and security principles
• Hands-on experience with Infrastructure as Code (Terraform preferred)
• Experience with CI/CD pipelines and automation
• Familiarity with Google Cloud SDK (gcloud) or comparable cloud administration tools
• Experience supporting Kubernetes or containerized environments
• Strong troubleshooting and problem-solving skills
• Excellent communication and customer-facing abilities

Preferred Qualifications

Experience with any of the following is highly desirable:

• Google Cloud Platform (GCP)
• Google Cloud Well-Architected Framework
• Google Kubernetes Engine (GKE)
• Gemini for Government
• Google AI APIs
• Gemini Enterprise Agent Platform
• Model Garden
• Terraform
• Hybrid and multi-cloud environments
• Cloud Observability
• Reliability Engineering
• FedRAMP, RMF, NIST 800-53, or DoD cloud environments
• Google Distributed Cloud (GDC)

Required Certifications

• Google Cloud Certified – Professional Cloud Architect (PCA) (Required at hire or within 60 days of employment)
• Google Cloud Certified – Associate Cloud Engineer (ACE) (Required if actively pursuing PCA certification)

Security Clearance

• Active TS/SCI clearance or eligibility to obtain a TS…