AWS Cloud Engineer with Security Clearance

As an AWS Cloud Engineer, you will design, implement, and maintain AWS cloud infrastructure and services to support advanced AI/ML applications, including vector database services and large language model (LLM) deployments. You will collaborate with government enterprise cloud teams to ensure compliance with performance, scalability, and security requirements. If you have a passion for helping clients and are looking to be a key player within an innovative program utilizing cutting edge technology, this role is for you. In this role you will: * Design, configure, and manage AWS services such as EKS, ASGs, NLB, EC2, S3, and EFS. * Implement and maintain vector database services and LLM services using open-source models, including Llama. * Deploy and manage Llama-based large language models on AWS infrastructure. * Optimize and scale vector database solutions for high-performance applications such as semantic search and real-time AI analytics. * Collaborate with government enterprise cloud teams to ensure high availability, optimal performance, and scalability of AI/ML services. * Optimize AWS resource utilization and costs for AI/ML workloads, including GPU-based EC2 instances. * Design and implement AWS security best practices, including identity and access management controls. * Support cloud Authority to Operate (ATO) requirements, including security control assessments and documentation. * Implement Infrastructure as Code using tools like Terraform or AWS CloudFormation. * Configure monitoring solutions with AWS CloudTrail, CloudWatch, and other compliance tooling. * Work with development teams to integrate Llama and vector database solutions into cloud workflows. * Create and maintain comprehensive documentation for cloud architecture, configurations, and processes. Qualifications: * Current Secret Clearance * Bachelor's Degree in Computer Science, Information Technology, or equivalent work experience. * Minimum of five (5+) years in AWS infrastructure engineering, preferably in government environments such as AWS GovCloud. * Proven experience working directly with federal end customers. * Strong Linux administration skills, expertise in Kubernetes (specifically EKS), and proficiency in AWS services like EC2 (including GPU nodes and clusters), S3, EBS, and CloudWatch are essential. * Familiarity with continuous monitoring and compliance tools, along with AWS certifications such as AWS Certified Solutions Architect, is highly desirable. * Strong experience with the DoD ATO Process * Candidates must be physically located within the DC Metropolitan area with the ability to be on site at the Washington Navy Yard 3 days a week. Desired Qualifications: * Experience with vector database solutions and LLM deployments, including Llama, as well as designing and maintaining hybrid and cloud network architectures. * Experience working with agentic frameworks and tools (LLMs, Agents, RAG, MCP, etc.) * UiPath technical leadership / SA experience (RPA, DU, and other products)