AWS Cloud Engineer

AWS Cloud Engineer

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)