This role is contingent upon a contract award. 

ICF is seeking a Cloud Platform Engineer to deploy, configure, and maintain cloud infrastructure for a federal technology program. Reporting to the Cloud / Enterprise Architecture Lead, this role is responsible for building and operating the multi-cloud landing zone environment using infrastructure-as-code and DevSecOps practices. Where the EA Lead sets architecture standards and policy, this role executes and maintains them in production. 

The ideal candidate is a hands-on cloud infrastructure engineer who writes automation before clicking buttons and treats configuration as code. The right candidate has deployed and operated cloud landing zones in federal environments and is comfortable working across Azure, AWS, and GCP with consistent tooling and governance discipline. 

Job Location: This is a remote-friendly position with occasional onsite requirements in the Washington, DC Metro area. 

This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections. 

What You'll Be Doing 

• Deploy and manage cloud landing zone architectures across Azure, AWS, and Google Cloud Platform using repeatable, automated provisioning with identity-first controls, guardrails, network security, and policy enforcement. 

• Implement infrastructure and policy as code using IaC templates, GitHub Actions, and CI/CD pipelines so environments can be created, updated, and audited consistently and without manual intervention. 

• Build and maintain system integrations using APIs, SDKs, webhooks, and event streams, with proper secrets management, least-privilege scoping, error handling, and logging. 

• Deploy and manage Azure Virtual Desktop for remote access scenarios and specific user personas. 

• Manage DNS-as-code for all agency platforms and services, including certificates and related configurations. 

• Integrate platform logs, alerts, and risk signals into central monitoring tools, and use automation to flag misconfigurations, risky behavior, and suspicious activity. 

• Perform quarterly reviews of cloud environment configurations against security baselines and compliance requirements, using compliance-as-code tooling where available. 

• Coordinate with identity, device, and cybersecurity teams to ensure cloud access policies, device compliance rules, and conditional access work together as part of a consistent Zero Trust model. 

• Maintain documentation of cloud architectures, configuration baselines, runbooks, and operational procedures so others can safely operate and extend the environment. 

• Resolve complex cloud platform issues escalated from operations and service desk teams. 

Minimum Requirements 

• Bachelor's degree or equivalent 

• 5+ years of experience in cloud engineering or platform operations 

• 3+ years deploying and managing cloud landing zones in Azure, AWS, or GCP in production environments 

• 2+ years implementing infrastructure as code using tools such as Terraform, Bicep, CloudFormation, or equivalent 

• 2+ years supporting federal IT programs in HHS, NIH, FDA, or other health-focused agencies 

• U.S. Citizenship required due to federal contract requirements 

• Ability to obtain and maintain a Public Trust background investigation 

• Candidate must reside in the US, be authorized to work in the US, and work must be performed in the US 

Preferred Qualifications 

• Experience managing Azure Virtual Desktop or equivalent virtual desktop infrastructure 

• Familiarity with NIST 800-53, FedRAMP, CIS benchmarks, and CISA Zero Trust guidelines as they apply to cloud infrastructure 

• Experience integrating platform telemetry with SIEM or SOAR tools for automated alerting and remediation 

• Relevant certifications such as Microsoft Azure Administrator, AWS SysOps Administrator, or Google Cloud Professional Cloud Engineer 

• Experience with DevSecOps delivery practices including automated security testing in CI/CD pipelines 

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 [email protected]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.