• Senior Cloud Engineer

    SAIC (Fort Belvoir, VA)


    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.

    REQNUMBER: 2510594

    SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability