Overview
On Site
Full Time
Skills
Real-time
Analytics
Scalability
Management
Regulatory Compliance
IaaS
High Availability
JD
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Orchestration
Docker
Kubernetes
Terraform
Large Language Models (LLMs)
Natural Language Processing
Conflict Resolution
Problem Solving
Collaboration
Cloud Computing
Workflow
Machine Learning Operations (ML Ops)
Artificial Intelligence
Machine Learning (ML)
Security Clearance
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2510594
Location: FORT BELVOIR, VA, US
Date Posted: 2025-10-07
Category: Information Technology
Subcategory: Cloud Comp Engr
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: No
Description
SAIC is seeking a Senior Cloud Engineer to join our team at Fort Belvoir, Virginia.
The Senior Cloud Engineer will be responsible for designing, implementing, and managing cloud-based infrastructure to support machine learning (ML) and artificial intelligence (AI) workloads within the Army Intelligence & Security Enterprise (AISE). This role will focus on ensuring scalability, security, and efficiency of cloud environments while enabling seamless integration of AI/ML solutions. The Senior Cloud Engineer will collaborate with data scientists, ML engineers, and other stakeholders to deliver mission-critical cloud capabilities.
Job Duties:
Qualifications
Required Education:
Qualifications:
Desired Qualifications:
Clearance:
Location: FORT BELVOIR, VA, US
Date Posted: 2025-10-07
Category: Information Technology
Subcategory: Cloud Comp Engr
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: No
Description
SAIC is seeking a Senior Cloud Engineer to join our team at Fort Belvoir, Virginia.
The Senior Cloud Engineer will be responsible for designing, implementing, and managing cloud-based infrastructure to support machine learning (ML) and artificial intelligence (AI) workloads within the Army Intelligence & Security Enterprise (AISE). This role will focus on ensuring scalability, security, and efficiency of cloud environments while enabling seamless integration of AI/ML solutions. The Senior Cloud Engineer will collaborate with data scientists, ML engineers, and other stakeholders to deliver mission-critical cloud capabilities.
Job Duties:
- Design and implement cloud-based infrastructure to support AI/ML workloads and real-time analytics.
- Optimize cloud environments for scalability, security, and cost-efficiency.
- Collaborate with ML engineers and data scientists to deploy and manage machine learning models in the cloud.
- Implement Infrastructure as Code (IaC) practices using tools like Terraform or CloudFormation.
- Ensure compliance with security protocols and governance policies for cloud-based systems.
- Monitor and troubleshoot cloud infrastructure to ensure high availability and performance.
- Stay updated on advancements in cloud technologies and best practices for AI/ML workloads.
- Support the operational integration of AI/ML solutions to enhance intelligence capabilities.
Qualifications
Required Education:
- Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD or JD and zero (0) years or more experience; four (4) years of experience considered in lieu of degree.
Qualifications:
- Experience with cloud-based AI/ML platforms and tools (e.g., AWS, Azure, Google Cloud).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation).
- Experience with leveraging Large Language Models (LLMs) such as GPT, or similar frameworks for tasks like natural language processing (NLP), text generation, summarization, or conversational AI.
- Excellent problem-solving and collaboration skills.
Desired Qualifications:
- Advanced degree (Master's or PhD) in Cloud Computing, Artificial Intelligence, or a related field.
- Experience with hybrid cloud environments and edge computing.
- Familiarity with Army Intelligence Enterprise data requirements and workflows.
- Knowledge of MLOps practices and tools for deploying and maintaining AI/ML models.
Clearance:
- Candidates must have an active TS/SCI with the ability to obtain a TS/SCI with Poly.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.