Cloud Engineer

Location: Chantilly, VA
Security Clearance: Active TS or higher [Required]
Job Type: Full-Time
Target Salary Range*:$115,000 - $176,000

• 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

Support advanced AI/ML workloads by designing secure, scalable cloud environments across multi-enclave and high-security settings. Build and optimize cloud infrastructure for distributed model training, high-performance computing, and low-latency inference. Enhance automation practices, standardize processes across teams, and strengthen secure cloud operations.

Key Responsibilities

Cloud Architecture and Integration

• Design and implement cloud architectures optimized for AI/ML compute, storage, and networking needs.
• Integrate public cloud platforms with on-premises hyperconverged systems and accelerator hardware.

Infrastructure Automation

• Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code (IaC) tools.
• Enhance automation practices and standardize processes across teams.

Secure Operations and Container Orchestration

• Support secure, high-availability operations for classified or mission-critical AI applications.
• Manage container orchestration platforms and ensure efficient multi-tenant operations.
• Strengthen secure cloud operations.

Data and Model Governance

• Implement data and model governance practices to maintain secure AI pipelines.

Qualifications

Education

• Bachelor’s degree. [Required]

Experience

• Minimum of 8 years of experience. [Required]
• Hands-on experience with major cloud providers: AWS, Azure, and GCP. [Required]
• Experience with Kubernetes and cloud networking/storage optimization. [Required]

Skills

• Knowledge of cloud engineering, infrastructure, or related technical roles. [Required]
• Knowledge of AI/ML compute environments, distributed systems, or HPC. [Required]
• Skills in IaC tools, including Terraform, Bicep, and CloudFormation, and DevSecOps pipelines. [Required]
• Strong understanding of secure cloud practices and multi-enclave operations. [Required]
• Effective communication and cross-team collaboration skills. [Required]

Cloud and Enterprise Infrastructure Requirements

• Air-gapped hybrid cloud and on-premises operational environments, including complex multi-enclave ecosystems.
• AWS GovCloud/SC2S/C2S and GCP cloud platforms.
• Nutanix host and cluster configuration, management with Prism Central, and NDFS configuration and management.
• Locally hosted GPU servers.
• Cloud cost-optimization techniques.
• Operating systems: Linux, including Rocky, Red Hat, Amazon, and Ubuntu; Windows; and macOS.

Networking and Cross-Domain Requirements

• Cisco switching, routing, firewalling, and site-to-site functionality, such as IPsec, DMVPN, and SD-WAN.
• Multi-tenant Cross-Domain Solutions (CDS).
• Cloud networking and VPC configuration.
• High-assurance cross-domain and encryption solutions, including TACLANE and NCAP.

Automation and Containerization Requirements

• Infrastructure as Code using Terraform and Ansible.
• Containerization and orchestration using Docker, Kubernetes, and OpenShift.
• Advanced GitLab CI/CD pipelines and DevSecOps practices.

Security and Identity Requirements

• Cloud-native security implementation and security accreditation processes.
• Identity and access services: Microsoft Active Directory, LDAP / OpenLDAP, Entra ID, and Keycloak.

Data Services and Monitoring Requirements

• Enterprise database services: RDS, RDS Aurora, and DynamoDB.
• Monitoring, logging, and data platforms: Elasticsearch, OpenSearch, and Splunk.

Application Architecture and Development Requirements

• Serverless architectures using Lambda.
• Microservices architecture and API Gateway implementation.
• Development experience with Python, .NET/C#, and related languages.

Preferred Qualifications

• Experience with hybrid or multi-cloud integrations.
• Familiarity with GPU/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.