Infrastructure Engineer

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

Amazon EC2
Amazon RDS
Amazon S3
Amazon Web Services
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
IaaS
Management
Orchestration
Provisioning
Regulatory Compliance
Remote Desktop Services
Terraform
Virtual Private Cloud
Writing

Job Details

Job Title: Infrastructure Engineer
Location: Reston, VA or Plano, TX (Hybrid)
Position Type: 12+ months Contract
Role Overview:
We are seeking experienced Infrastructure Engineers to join a critical project team focused on automating cloud infrastructure provisioning at scale. This role involves building and maintaining Terraform Enterprise modules and enforcing infrastructure governance through Sentinel policies.
Key Responsibilities:
  • Design, develop, and maintain reusable Terraform modules for AWS infrastructure provisioning using Terraform Enterprise (TFE).
  • Publish and manage modules in the Private Module Registry (PMR).
  • Develop Sentinel policies to enforce governance, compliance, and security standards.
  • Collaborate with application teams to support adoption of modules and enforce policy compliance.
  • Ensure infrastructure-as-code best practices, code reusability, and standardization across teams.
  • Work with AWS-native services (EC2, S3, IAM, VPC, RDS, Lambda, etc.) as required by FNMA environments.
Required Skills & Qualifications:
  • Strong hands-on experience with Terraform Enterprise (TFE) not the community version.
  • Experience building Terraform modules in a Private Module Registry.
  • Proficiency in writing and managing Sentinel policies.
  • Deep understanding of AWS services infrastructure build, provisioning, and orchestration.
  • 5+ years of relevant infrastructure or cloud engineering experience.
  • Ability to work onsite (hybrid) in either Reston, VA or Plano, TX.
Nice to Have:
  • Terraform or AWS certifications.
  • Experience with Infrastructure-as-Code governance at scale.
  • Familiarity with CI/CD pipelines and GitOps practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.