Cloud Engineer at ICF

, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

184409.0

Posted On

18 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, CloudFormation, Terraform, Pulumi, Python, Bash, PowerShell, Data Analytics, SageMaker, Generative AI, CI/CD, Infrastructure as Code, Security, Cost Optimization, MLOps, Containerization, Orchestration

Industry

Business Consulting and Services

Description

Description 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 doesn't 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, you’ll 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. You’ll 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 We’d 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 we’re 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 world's 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 Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights 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 candidateaccommodation@icf.com. 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: $108,476.00 - $184,409.00 Nationwide Remote Office (US99)

Responsibilities

The Cloud Engineer will design and implement AWS infrastructure for a scalable AI platform, focusing on building Service Catalog products and reusable infrastructure templates. Responsibilities include automating data pipelines and ensuring security, scalability, and cost efficiency.