Cloud AI Engineer - TS/SCI Eligible (Federal Onsite)

PGTEK; Washington (District of Columbia); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

Matching 401(k) plan

Education assistance

PTO and Holidays

Job summary

PGTEK is seeking a Mid-Level Cloud AI Engineer to design, implement, and manage secure Google Cloud solutions for federal customers migrating legacy systems to Google Cloud and Gemini for Government environments.

You will own cloud migration projects from architecture through deployment, providing guidance to Associate Cloud AI Engineers while operating in FedRAMP‑high and DoD‑IL4/IL5 contexts.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, IT, or related STEM field (or equivalent practical experience).
• 3–5 years 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.
• 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.

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.

Skills

GCP architecture

Migration planning

Cloud security basics

Client-facing communication

Cloud AI concepts

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform

Kubernetes

GKE

Google Cloud SDK (gcloud)

Job description

PGTEK is seeking a Mid-Level Cloud AI Engineer to design, implement, and manage secure Google Cloud solutions for federal customers migrating legacy systems to Google Cloud and Gemini for Government environments.

You will own cloud migration projects from architecture through deployment, providing guidance to Associate Cloud AI Engineers while operating in FedRAMP‑high and DoD‑IL4/IL5 contexts.