Job description

Location: Chantilly, VA Security Clearance: Active TS or higher [Required] w/ CI Polygraph Job Type: Full-Time Target Salary Range*: $115,000 - $179,000 *This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary Position Overview The Cloud Engineer (Senior) supports advanced AI/ML workloads by designing secure, scalable cloud environments across multi-enclave and high-security settings. This role builds and optimizes cloud infrastructure for distributed model training, high-performance computing, and low-latency inference while improving automation, standardizing engineering practices, and strengthening secure cloud operations. The Cloud Engineer (Senior) also supports hybrid and on-premises infrastructure integration, container orchestration, cross-domain connectivity, identity and access management, monitoring, data services, and DevSecOps capabilities across complex enterprise environments. Key Responsibilities Cloud Architecture and Integration • Design and implement cloud architectures optimized for AI/ML compute, storage, and networking requirements. • Integrate public cloud platforms with on-premises hyperconverged infrastructure and accelerator hardware. • Support air-gapped hybrid-cloud and on-premises operational environments, including complex multi-enclave ecosystems. • Support AWS GovCloud, SC2S, C2S, and GCP cloud platforms. • Support Nutanix host and cluster environments, including Prism Central and NDFS. • Support locally hosted GPU servers and AI-optimized infrastructure. • Apply cloud cost-optimization techniques across supported environments. Infrastructure Automation and DevSecOps • Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code. • Develop and maintain Infrastructure as Code using Terraform and Ansible. • Support Infrastructure as Code capabilities using technologies such as Bicep and CloudFormation. • Enhance automation practices and standardize infrastructure processes across teams. • Support advanced GitLab CI/CD pipelines and DevSecOps practices. Secure Operations and Container Orchestration • Support secure and highly available operations for classified or mission-critical AI applications. • Manage containerization and orchestration platforms including Docker, Kubernetes, and OpenShift. • Support efficient multi-tenant cloud and container environments. • Implement cloud-native security controls and support security accreditation processes. • Strengthen secure cloud operations across complex multi-enclave environments. Networking and Cross-Domain Infrastructure • Support Cisco switching, routing, firewalling, and site-to-site connectivity, including IPsec, DMVPN, and SD-WAN. • Configure and support cloud networking and VPC environments. • Support multi-tenant Cross-Domain Solutions. • Support high-assurance cross-domain and encryption solutions including TACLANE and NCAP. Identity, Security, and Governance • Support identity and access services including Microsoft Active Directory, LDAP/OpenLDAP, Entra ID, and Keycloak. • Implement data and model governance practices supporting secure AI pipelines. • Apply secure cloud practices across classified, multi-enclave, and mission-critical environments. Data Services, Monitoring, and Platform Support • Support enterprise database services including RDS, RDS Aurora, and DynamoDB. • Support monitoring, logging, and data platforms including Elasticsearch, OpenSearch, and Splunk. • Support Linux operating systems including Rocky Linux, Red Hat, Amazon Linux, and Ubuntu, as well as Windows and macOS. • Support serverless architectures using AWS Lambda. • Support microservices architectures and API Gateway implementations. • Apply development experience with Python, .NET/C#, and related languages to infrastructure automation and platform integration. Qualifications Education • Bachelor’s degree. [Required] Experience • Minimum 8 years of relevant experience. [Required] • Hands-on experience with major cloud providers including AWS, Azure, and GCP. [Required] • Experience with Kubernetes and cloud networking and storage optimization. [Required] Skills • Knowledge of cloud engineering, infrastructure, or related technical disciplines. [Required] • Knowledge of AI/ML compute environments, distributed systems, or high-performance computing. [Required] • Experience with Infrastructure as Code tools including Terraform, Bicep, and CloudFormation, and with DevSecOps pipelines. [Required] • Strong understanding of secure cloud practices and multi-enclave operations. [Required] • Effective communication and cross-team collaboration skills. [Required] Preferred Qualifications • Experience with hybrid or multi-cloud integrations. • Familiarity with GPU and accelerator hardware and AI-optimized cloud patterns. • Cloud certifications such as AWS Solutions Architect or Azure Architect. • Experience working in high-security or classified environments.

Requirements

Must-haves

Location: Chantilly, VA
Security Clearance: Active TS or higher [Required] w/ CI Polygraph
Job Type: Full-Time
Position Overview
Cloud Architecture and Integration
Design and implement cloud architectures optimized for AI/ML compute, storage, and networking requirements.
Integrate public cloud platforms with on-premises hyperconverged infrastructure and accelerator hardware.
Support air-gapped hybrid-cloud and on-premises operational environments, including complex multi-enclave ecosystems.
Support AWS GovCloud, SC2S, C2S, and GCP cloud platforms.
Support Nutanix host and cluster environments, including Prism Central and NDFS.
Support locally hosted GPU servers and AI-optimized infrastructure.
Apply cloud cost-optimization techniques across supported environments.
Infrastructure Automation and DevSecOps
Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code.
Develop and maintain Infrastructure as Code using Terraform and Ansible.
Support Infrastructure as Code capabilities using technologies such as Bicep and CloudFormation.
Enhance automation practices and standardize infrastructure processes across teams.
Support advanced GitLab CI/CD pipelines and DevSecOps practices.
Secure Operations and Container Orchestration
Support secure and highly available operations for classified or mission-critical AI applications.

Nice-to-haves

Experience with hybrid or multi-cloud integrations.
Familiarity with GPU and accelerator hardware and AI-optimized cloud patterns.
Cloud certifications such as AWS Solutions Architect or Azure Architect.
Experience working in high-security or classified environments.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlawsgcpci/cddockerkubernetesapipythonazure

Platform: clearcompany
Effort: medium