Associate Cloud AI Engineer - TS/SCI clearance - Travel

PGTEK; Baltimore (MD); On-site; USD 80,000 - 100,000; Full time

Job summary

PGTEK is seeking an Associate Cloud AI Engineer (Entry Level) to join our Google Cloud and AI practice, supporting U.S. federal customers at various client sites.

You will help deploy, secure, and operate Google Cloud environments, participate in migrations, IaC deployments, and AI platform implementations while building expertise in cloud technologies and federal security best practices. Mentorship and clear path to advancement in the role are offered.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or another STEM‑related field (or equivalent practical experience).
• 0–2 years of experience supporting cloud infrastructure or enterprise IT environments.
• Basic understanding of cloud computing concepts.
• Familiarity with Linux and networking fundamentals.
• Experience using command‑line tools and scripting is a plus.
• Strong troubleshooting and analytical skills.
• Excellent communication and willingness to learn.
• Ability to work collaboratively in a fast‑paced team environment.

Responsibilities

• Assist with deploying and configuring Google Cloud Platform (GCP) environments.
• Configure resource hierarchies, IAM roles, Cloud Identity, and organizational policies.
• Support Google Cloud Assured Workloads implementations.
• Deploy and manage Compute Engine virtual machines, Google Kubernetes Engine (GKE), Cloud Run, and enterprise AI services.
• Configure cloud networking including VPCs, subnets, firewall rules, and network security policies.
• Assist with Google Cloud storage, databases, and data services including: Cloud Storage, Cloud SQL, BigQuery, Spanner, Pub/Sub, Dataflow.
• Support Infrastructure as Code (IaC) deployments using Terraform, Config Connector, and Helm.
• Utilize Google AI‑assisted tools including Gemini CLI and Gemini Cloud Assist.
• Monitor cloud environments using Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Profiler.
• Assist with identity, access management, encryption, and least‑privilege security implementations.
• Support compliance documentation and evidence collection for FedRAMP and DoD environments.
• Collaborate with senior engineers throughout cloud migration and modernization projects.
• Continuously expand Google Cloud knowledge through certifications, mentoring, and hands‑on experience.

Skills

GCP fundamentals

Linux basics

Command-line tools

Troubleshooting

Security best practices

Collaboration

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

GKE

Compute Engine

Cloud Storage

BigQuery

Spanner

Pub/Sub

Dataflow

Terraform

Config Connector

Helm

Job description

Associate Cloud AI Engineer (Entry Level)

Location: Various U.S. Federal Client Sites (Onsite)
Travel: Travel required to customer sites throughout the Continental U.S.
Salary: $80,000 – $100,000
Clearance: Active TS/SCI or the ability to obtain a TS/SCI clearance required

About PGTEK

PGTEK is a leading provider of enterprise IT modernization, cloud transformation, and AI solutions supporting U.S. Federal Government agencies. As we continue expanding our Google Cloud and AI practice, we're seeking motivated engineers who want to build their careers deploying next-generation cloud and AI technologies in secure government environments.

This is an excellent opportunity for early-career cloud professionals, recent graduates, military veterans, and PGTEK Academy candidates looking to gain hands‑on experience with Google Cloud Platform (GCP), enterprise AI, and federal cloud modernization projects.

Position Summary

As an Associate Cloud AI Engineer, you'll work alongside Senior and Lead Cloud AI Engineers to help deploy, secure, and support Google Cloud environments for federal customers. You'll participate in cloud migrations, infrastructure deployments, automation initiatives, and AI platform implementations while developing expertise in Google Cloud technologies and federal security best practices.

This role offers significant mentorship and professional growth opportunities as you build toward becoming a Cloud AI Engineer and ultimately a Cloud Architect.

Responsibilities

• Assist with deploying and configuring Google Cloud Platform (GCP) environments
• Configure resource hierarchies, IAM roles, Cloud Identity, and organizational policies
• Support Google Cloud Assured Workloads implementations
• Deploy and manage Compute Engine virtual machines, Google Kubernetes Engine (GKE), Cloud Run, and enterprise AI services
• Configure cloud networking including VPCs, subnets, firewall rules, and network security policies
• Assist with Google Cloud storage, databases, and data services including:
  • Cloud Storage
  • Cloud SQL
  • BigQuery
  • Spanner
  • Pub/Sub
  • Dataflow
• Support Infrastructure as Code (IaC) deployments using Terraform, Config Connector, and Helm
• Utilize Google AI‑assisted tools including Gemini CLI and Gemini Cloud Assist
• Monitor cloud environments using Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Profiler
• Assist with identity, access management, encryption, and least‑privilege security implementations
• Support compliance documentation and evidence collection for FedRAMP and DoD environments
• Collaborate with senior engineers throughout cloud migration and modernization projects
• Continuously expand Google Cloud knowledge through certifications, mentoring, and hands‑on experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, or another STEM‑related field (or equivalent practical experience)
• 0–2 years of experience supporting cloud infrastructure or enterprise IT environments
• Basic understanding of cloud computing concepts
• Familiarity with Linux and networking fundamentals
• Experience using command‑line tools and scripting is a plus
• Strong troubleshooting and analytical skills
• Excellent communication and willingness to learn
• Ability to work collaboratively in a fast‑paced team environment

Preferred Qualifications

Experience or exposure to any of the following is a plus:

• Google Cloud Platform (GCP)
• Kubernetes
• Docker or container technologies
• Terraform or Infrastructure as Code
• Git and CI/CD pipelines