Cloud Engineer

Please note: This role is contingent upon a contract award. While it is not an immediate opening we are actively conducting interviews and extending offers in anticipation of the award.

Our Engineering and Emerging Technologies (EET) team works side by side with customers to articulate a vision for success and then make it happen. We know success doesnt happen by accident. It takes the right team of people working together on the right solutions for the customer. We are looking for a seasoned Cloud Engineer who will be a key driver to make this happen.

What will you be doing

As an AI-focused Cloud Engineer youll design and implement the foundational AWS infrastructure that powers our scalable AI platform. Your focus will be on building Service Catalog products and reusable infrastructure templates that empower internal teams and clients to rapidly deploy data analytics and AI solutions. Youll help automate and standardize the provisioning of data pipelines SageMaker environments AI applications and Bedrock-based agents ensuring security scalability and cost efficiency.

Job Location

Remote with occasional travel to the client office.

*If you accept this position you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections.

Job Responsibilities

• Design build and maintain AWS Service Catalog products to enable self-service provisioning of AI and data services.

• Develop reusable Infrastructure as Code (IaC) stacks using CloudFormation Terraform and/or Pulumi to deploy and manage AWS environments.

• Create automated infrastructure templates supporting:

• Data analytics and pipeline workloads (e.g. Glue Step Functions Lambda Redshift S3).

• Amazon SageMaker for training and inference pipelines.

• Generative AI and Bedrock-based applications including AI agents and custom model integrations.

• Collaborate with AI data and software teams to ensure infrastructure supports end-to-end workflows from ingestion to model deployment.

• Implement CI/CD pipelines for IaC and platform automation.

• Monitor infrastructure performance security posture and compliance.

• Document standards and best practices for scalable AI infrastructure.

What You Must Have

• Candidate must reside in the U.S. and be a US Citizen per government requirements.

• Candidate must be able to pass successful Public Trust background check

• 3 years of experience building and maintaining cloud infrastructure in AWS.

• Scripting skills in Python Bash or PowerShell.

What Wed Like You to Have

• AWS Certified Solutions Architect (Associate or Professional) AWS Certified DevOps Engineer or AWS Certified Machine Learning Specialty.

• Strong hands-on experience with AWS Service Catalog CloudFormation and Terraform or Pulumi.

• Deep understanding of AWS core services (IAM Lambda S3 ECS/EKS CloudWatch VPC Step Functions).

• Experience designing and deploying infrastructure for data and AI workloads (e.g. SageMaker Glue Bedrock).

• Familiarity with DevOps automation and IaC best practices.

• Familiarity with containerization (Docker) and orchestration (EKS ECS).

• Experience deploying generative AI or Bedrock-based applications including AI agents.

• Strong knowledge of AWS governance security and cost optimization principles.

• Knowledge of MLOps practices CI/CD for ML and integration with data pipelines.

• Experience managing multi-account AWS environments and automation across organizations.

Professional Skills

• Excellent communication skills and ability to collaborate with cross-functional teams.

Working at ICF

ICF is a global advisory and technology services provider but were not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges navigate change and shape the future.

We can only solve the worlds toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information please read our EEO policy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available including but not limited to for disabled veterans individuals with disabilities and individuals with sincerely held religious beliefs in all phases of the application and employment process. To request an accommodation please email and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent to provide needed reasonable accommodations.

Read more about workplacediscriminationrigh t s or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

Candidate AI Usage Policy

At ICF we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process.

However we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed candidates are instructed to contact us in advance at . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

Pay Range - There are multiple factors that are considered in determining final pay for a position including but not limited to relevant work experience skills certifications and competencies that align to the specified role geographic location education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is :

$98124.00 - $166810.00

Nationwide Remote Office (US99)