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.