{"schemaVersion":"jobsearcher.job.v1","id":"da793b63d9f5cd9a1ebbbc16","url":"https://jobsearcher.com/jobs/da793b63d9f5cd9a1ebbbc16","canonicalUrl":"https://jobsearcher.com/jobs/da793b63d9f5cd9a1ebbbc16","title":"AWS Cloud Engineer","description":"As anAWS 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.\r\nImplement and maintain vector database services and LLM services using open-source models, including Llama.\r\nDeploy and manage Llama-based large language models on AWS infrastructure.\r\nOptimize and scale vector database solutions for high-performance applications such as semantic search and real-time AI analytics.\r\nCollaborate with government enterprise cloud teams to ensure high availability, optimal performance, and scalability of AI/ML services.\r\nOptimize AWS resource utilization and costs for AI/ML workloads, including GPU-based EC2 instances.\r\nDesign and implement AWS security best practices, including identity and access management controls.\r\nSupport cloud Authority to Operate (ATO) requirements, including security control assessments and documentation.\r\nImplement Infrastructure as Code using tools like Terraform or AWS CloudFormation.\r\nConfigure monitoring solutions with AWS CloudTrail, CloudWatch, and other compliance tooling.\r\nWork with development teams to integrate Llama and vector database solutions into cloud workflows.\r\nCreate and maintain comprehensive documentation for cloud architecture, configurations, and processes.\r\nQualifications :Current Secret Clearance\r\nBachelor's Degree in Computer Science, Information Technology, or equivalent work experience.\r\nMinimum of five (5+) years in AWS infrastructure engineering, preferably in government environments such as AWS GovCloud.\r\nProven experience working directly with federal end customers.\r\nStrong 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.\r\nFamiliarity with continuous monitoring and compliance tools, along with AWS certifications such as AWS Certified Solutions Architect, is highly desirable.\r\nStrong experience with the DoD ATO Process\r\nCandidates 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.\r\nDesired Qualifications :Experience with vector database solutions and LLM deployments, including Llama, as well as designing and maintaining hybrid and cloud network architectures.\r\nExperience working with agentic frameworks and tools (LLMs, Agents, RAG, MCP, etc.)\r\nUiPath technical leadership / SA experience (RPA, DU, and other products)","company":"Mount Indie","rawCompany":"mount indie","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:19:20.840Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Cloud Engineer","description":"As anAWS 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.\r\nImplement and maintain vector database services and LLM services using open-source models, including Llama.\r\nDeploy and manage Llama-based large language models on AWS infrastructure.\r\nOptimize and scale vector database solutions for high-performance applications such as semantic search and real-time AI analytics.\r\nCollaborate with government enterprise cloud teams to ensure high availability, optimal performance, and scalability of AI/ML services.\r\nOptimize AWS resource utilization and costs for AI/ML workloads, including GPU-based EC2 instances.\r\nDesign and implement AWS security best practices, including identity and access management controls.\r\nSupport cloud Authority to Operate (ATO) requirements, including security control assessments and documentation.\r\nImplement Infrastructure as Code using tools like Terraform or AWS CloudFormation.\r\nConfigure monitoring solutions with AWS CloudTrail, CloudWatch, and other compliance tooling.\r\nWork with development teams to integrate Llama and vector database solutions into cloud workflows.\r\nCreate and maintain comprehensive documentation for cloud architecture, configurations, and processes.\r\nQualifications :Current Secret Clearance\r\nBachelor's Degree in Computer Science, Information Technology, or equivalent work experience.\r\nMinimum of five (5+) years in AWS infrastructure engineering, preferably in government environments such as AWS GovCloud.\r\nProven experience working directly with federal end customers.\r\nStrong 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.\r\nFamiliarity with continuous monitoring and compliance tools, along with AWS certifications such as AWS Certified Solutions Architect, is highly desirable.\r\nStrong experience with the DoD ATO Process\r\nCandidates 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.\r\nDesired Qualifications :Experience with vector database solutions and LLM deployments, including Llama, as well as designing and maintaining hybrid and cloud network architectures.\r\nExperience working with agentic frameworks and tools (LLMs, Agents, RAG, MCP, etc.)\r\nUiPath technical leadership / SA experience (RPA, DU, and other products)","datePosted":"2026-08-09T01:19:20.840Z","dateModified":"2026-08-09T01:19:20.840Z","hiringOrganization":{"@type":"Organization","name":"Mount Indie","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"da793b63d9f5cd9a1ebbbc16"},"url":"https://jobsearcher.com/jobs/da793b63d9f5cd9a1ebbbc16"}}