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# Cloud Engineer

- **Company:** E-INFOSOL LLC
- **Location:** Vienna, VA, United States
- **Experience:** Expert
- **Salary:** $155,000.0 - $163,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Windows, Active Directory, Artificial Intelligence, Amazon Web Services, Apple Mac Systems, Application Integration Architecture, Microsoft Azure, C Sharp (Programming Language), Ubuntu (Operating System), Cloud Computing, Cloud Computing Security, Cloud Engineering, Linux, Distributed Systems, Dynamic Multipoint Virtual Private Networks, Amazon DynamoDB, Elasticsearch, Internet Protocol Security (IP SEC), Python (Programming Language), Lightweight Directory Access Protocols (LDAP), OpenLDAP, OpenShift, Prism (Software), Red Hat Enterprise Linux, Ansible, Systems Integration, Wide Area Networks, Data Logging, Google Cloud, High Performance Computing, Okta, System Availability, Multi-Cloud, HybridCloud, Amazon Virtual Private Cloud (VPC), Cloudformation, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Low Latency, Optimization Algorithms, Bicep, Data Management, Machine Learning Operations, Nutanix, Cloud Optimization, Api Gateway, Terraform, Splunk, Devsecops, Serverless Computing, OpenSearch, Cisco, Docker, Microservices
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2566832f34b8e7d7

## About the Role

E-INFOSOL LLC is seeking a motivated and results-driven Cloud Engineer with 8 years of relevant professional experience in the cleared IT government contracting space to join our growing team., * Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed to meet contract requirements.

 * Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience).
 * Minimum 8 years of relevant professional experience, * Knowledge of cloud engineering, infrastructure, or related technical roles.
 * Hands-on experience with major cloud providers (AWS, Azure, GCP).
 * Knowledge of AI/ML compute environments, distributed systems, or HPC.
 * Skills in IaC (Terraform, Bicep, CloudFormation) and DevSecOps pipelines.
 * Experience with container orchestration (Kubernetes) and cloud networking/storage optimization.
 * Strong understanding of secure cloud practices and multi enclave operations.
 * Effective communication and cross team collaboration skills.
 * Unique Skills / Technical 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/management
 * Cisco switching, routing, firewalling, and site-to-site functionality (such as IPSEC,
 * DMVPN, and SD-WAN)
 * Locally hosted GPU servers
 * Multi-tenant Cross-Domain Solutions (CDS)
 * Infrastructure-as-Code (Terraform, Ansible)
 * Containerization and orchestration (Docker, Kubernetes, OpenShift)
 * Cloud-native security implementation and security accreditation processes
 * Advanced GitLab CI/CD pipelines and DevSecOps practices
 * Enterprise database services (RDS, RDS Aurora, DynamoDB)
 * Serverless architectures (Lambda)
 * Cloud networking and VPC configuration
 * Monitoring, logging, and data platforms (Elasticsearch, OpenSearch, Splunk)
 * Microservices architecture and API Gateway implementation
 * Development experience with Python, .NET/C#, and related languages
 * Identity and access services (Microsoft Active Directory, LDAP / OpenLDAP, Entra ID,
 * Keycloak)
 * High-assurance cross-domain and encryption solutions (TACLANE, NCAP)
 * Cloud cost-optimization techniques
 * Operating Systems: Linux (e.g., Rocky, RedHat, Amazon, Ubuntu), Windows, and Mac OS.

Desired Skills:

 * Experience with hybrid or multi cloud integrations.
 * Familiarity with GPU/accelerator hardware and AI optimized cloud patterns.
 * Cloud certifications (e.g., AWS Solutions Architect, Azure Architect).
 * Experience working in high security or classified environments.

## Description

The Cloud Engineer (AI Integration) 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 compute, and low latency inference. The engineer enhances automation practices, standardizes processes across teams, and strengthens secure cloud operations.

 * Design and implement cloud architectures optimized for AI/ML compute, storage, and networking needs.
 * Automate cloud infrastructure using DevSecOps and Infrastructure as Code (IaC) tools.
 * Integrate public cloud platforms with on premises hyperconverged systems and accelerator hardware.
 * Support secure, high availability operations for classified or mission critical AI applications.
 * Manage container orchestration platforms and ensure efficient multi tenant operations.
 * Implement data and model governance practices to maintain secure AI pipelines.