Cloud Engineer

Are you passionate about AI/ML cloud infrastructure, AWS Bedrock, and optimizing LLM performance? We are seeking an AIML Cloud Engineer to support a cutting-edge AI/ML infrastructure in a secure cloud environment. You’ll work on AWS ECR, Airflow, and Streamlit containers, optimize AWS Bedrock and LLM tool adoption, and enhance AI/ML performance and cost efficiency by integrating GPU EC2 Nodes. Join us in building a high-performance AI/ML cloud environment that drives innovation and automation.

Key Responsibilities

• Provide AIML infrastructure support for cloud environments, ensuring reliability and scalability.
• Manage AWS Elastic Container Registry (ECR), Airflow, and Streamlit containers to support AI/ML applications.
• Configure and optimize AWS Bedrock, Microsoft Copilot, and AI/ML tool adoption.
• Conduct technical assessments, operational improvements, and cybersecurity finding remediation for LLM-based tools.
• Integrate GPU EC2 Nodes and/or AWS Bedrock to improve modeling performance and cost control.
• Enhance Amazon Managed Workflows for Apache Airflow (MWAA) to automate production monitoring and notifications.
• Ensure AI/ML cloud infrastructure security, compliance, and scalability within FedRAMP-approved AWS environments.

• 5 years of experience in AI/ML cloud infrastructure, AWS AI/ML services, and containerized AI deployments.
• Hands-on experience with FedRAMP-Authorized AWS services, including:
  • AWS Elastic Container Service (ECS), AWS Elastic Container Registry (ECR), AWS Relational Database Service (RDS/Postgres), AWS Elastic Map Reduce (EMR), AWS Cloud Formation, AWS Service Catalog, ACES CICD Service.
  • AWS Application Load Balancer, AWS Network Load Balancer, AWS Cloud Map (Service Discovery).
• Experience with Apache Airflow (MWAA), workflow automation, and production monitoring.
• Strong expertise in GPU-accelerated AI modeling using AWS EC2 Nodes.
• Familiarity with LLM (Large Language Models), model deployment, and AI tool integration.
• Cybersecurity experience with remediating AI/ML tool vulnerabilities and securing cloud-based AI solutions.
• Proficiency in open-source AI/ML tools, including:
  • Airflow-WebUI, Scheduler, Workers, Redis (for Airflow internal communications), and Streamlit-App for AI data visualization and customer interface.
• Strong knowledge of AI/ML cloud performance optimization, cost control, and security best practices.

• Experience working with the SEC or other federal regulatory agencies.
• Familiarity with AI/ML security compliance (FedRAMP, FISMA, NIST AI RMF, Zero Trust AI Security).
• Hands-on experience with model versioning, MLOps, and AI infrastructure governance.

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Cloud Engineering, or a related field.
• Master’s degree preferred but not required.
• Relevant certifications (preferred but not required):
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect – Associate
  • Certified Kubernetes Administrator (CKA)
  • TensorFlow Developer Certification

Location
 Washington, DC (Hybrid/Remote)

Clearance
U.S. Citizen required
Must be able to obtain and maintain a Public Trust clearance

Client
U.S. Securities and Exchange Commission (SEC), Office of Information Technology (OIT)

TRAVEL

• No travel required

• 40 hours per week
• 8 hours per day

• Employment Classification Eligibility — W2 or 1099

• Not eligible for relocation benefits

West 4th Strategy is an Equal Opportunity/Affirmative Action (EEO/AA) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.          

Other Considerations: This position is W-2 only; no Corp-to-Corp or 1099 candidates. Relocation will not be offered. Selected applicants will be subject to a background investigation. Individual’s primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.