Senior Cloud Engineer jobs in United States
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SAIC · 7 hours ago

Senior Cloud Engineer

positionFort Belvoir, VA
timeFull-time
remoteOnsite
senioritySenior Level
date5+ years exp

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.

Information TechnologySecurityService IndustrySoftware
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Work & Life BalancebadNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

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

Qualification

Cloud-based AI/ML platformsContainerizationOrchestrationInfrastructure as CodeLarge Language ModelsHybrid cloud environmentsProblem-solving skillsCollaboration skills

Required

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
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
Candidates must have an active TS/SCI with the ability to obtain a TS/SCI with Poly

Preferred

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

Company

SAIC

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SAIC specializes in IT, enterprise IT, engineering, and professional services.
dateFounded in 1969
location
Reston, Virginia, USA
people-size10001+ employees
web-link
http://www.saic.com

Funding

Current Stage
Public Company
Total Funding
$522.13M
Key Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO

Leadership Team

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Robert Fecteau
IT Advisor to CEO
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Prabu Natarajan
Chief Financial Officer
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Recent News

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Company data provided by crunchbase