Senior Cloud Engineer Job Listing at SAIC in Fort Belvoir, VA (Job ID 2510594)

Description

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.