> Markdown version of [/jobs/ext/264446-ml-infrastructure-aws-cloud-engineer-w-secret-clearance](https://www.wearedevelopers.com/jobs/ext/264446-ml-infrastructure-aws-cloud-engineer-w-secret-clearance). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Infrastructure / AWS Cloud Engineer w/Secret Clearance - **Company:** A3 Consulting Llc - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $155,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Engineering, Computer Networks, Identity and Access Management, Linux System Administration, Machine Learning, Open Source Technology, Azure Machine Learning, Search Technologies, System Availability, Large Language Models, Cloudformation, SC Clearance, Uipath, Kubernetes, Information Technology, Machine Learning Operations, Cloudwatch, Terraform - **Published:** May 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3f43bf37ebdccb30 ## About the Role Do you have experience in S3?, Do you have a Bachelor's degree?, * 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. * Strong experience with the DoD ATO Process. * 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. * 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) * Familiarity with continuous monitoring and compliance tools, along with AWS certifications such as AWS Certified Solutions Architect, is highly desirable. * Candidates must be physically located within the DC Metropolitan area with the ability to be onsite 2-3 days a week. ## Description As an ML Infrastructure / 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 in a fast-growing, innovative company, 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. ## Related Videos - [How to achieve web automation with UiPath](https://www.wearedevelopers.com/videos/310-how-to-achieve-web-automation-with-uipath) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [RPA crash course for .Net developers – intro into the world of RPA from the perspective of a .Net developer](https://www.wearedevelopers.com/videos/271-rpa-crash-course-for-net-developers-intro-into-the-world-of-rpa-from-the-perspective-of-a-net-developer) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)