Cloud Engineer Senior

Overview

We are seeking a Senior Cloud Infrastructure Engineer with strong AWS expertise and hands-on experience enabling GenAI solutions in cloud environments. This role focuses on building, securing, and supporting AWS infrastructure that powers enterprise-grade Generative AI capabilities. The ideal candidate combines deep AWS platform knowledge with recent GenAI enablement experience and strong infrastructure automation skills.

• ONSITE
• Competitive salary
• Opportunity for advancement

• Location:
  
  McLean, VA – Fully Onsite
• Assignment Type:
  Contract Only
• End Date:
  March 31, 2027 and extendable
• Schedule:
  
  Standard hours + On-call rotation (once every 5 weeks)
• Interview Process: 1–2 Rounds | 30–60 Minutes | MS Teams (Video Mandatory) + In-Person

• 5+ years of infrastructure engineering experience in enterprise environments
• 1–2 years of hands-on experience enabling GenAI solutions in AWS
• Direct experience with:
• • AWS Bedrock
  • AWS Generative AI services
  • AWS networking (Private Link, Security Groups, Route
    53, VPC, VPC Endpoints, etc.)
• Strong understanding of authentication and authorization using:
• • SCP
  • KMS
  • IAM Policies & Roles
• Experience designing and deploying Cloud Formation Templates (CFT)
• CI/CD pipeline automation experience

• 5+ years designing and supporting AWS platform infrastructure solutions
• Hands-on scripting experience:
• • Cloud Formation
  • Python
  • Shell scripting
• Experience with:
• • EKS
  • Jenkins
  • Git (Bitbucket)
  • Artifactory
  • Service Now
  • Jira
  • Confluence
• Experience designing, implementing, integrating, and supporting cloud-based applications at the platform level
• Strong written and verbal communication skills

• AWS (advanced services)
• EKS architecture expertise
• GCO
• Microsoft Azure
• Azure OpenAI
• OpenAI integrations

Bachelor’s Degree in Computer Science, Information Technology, or equivalent professional experience required.