Cloud Engineer

Amatriot Group; Chantilly (VA); On-site; USD 115,000 - 176,000; Full time

Job summary

Amatriot Group in Chantilly, VA is seeking an expert cloud architect to design secure, scalable AIML cloud environments across multi enclave and high-security settings. You will optimize infrastructure for distributed model training, HPC, and low-latency inference, while improving automation and security practices.

The role requires 8+ years in cloud engineering, hands-on AWS/Azure/GCP experience, and strong DevSecOps and IaC skills; teamwork across multiple domains is essential in this

Qualifications

• Bachelor's degree required.
• 8+ years of experience required.
• Hands-on experience with AWS, Azure and GCP required.
• Experience with Kubernetes and cloud networking/storage optimization required.
• Knowledge of AIML compute environments, distributed systems or HPC required.
• Experience with IaC tools (Terraform, Ansible, CloudFormation, Bicep) and DevSecOps pipelines.
• Strong understanding of secure cloud practices and multi enclave operations.
• Effective communication and cross-team collaboration skills.

Responsibilities

• Design and implement cloud architectures optimized for AIML compute, storage and networking needs; integrate public clouds with on-premises systems.
• Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code tools; standardize processes across teams.
• Support secure high-availability operations for classified AI applications; manage container orchestration and multi-tenant operations.
• Establish data and model governance to maintain secure AI pipelines.

Skills

Cloud engineering

Distributed systems

DevSecOps

Multi enclave ops

Education

Bachelor's degree

Tools

Terraform

Ansible

Kubernetes

Docker

OpenShift

CloudFormation

Bicep

Job description

Location

Location Chantilly VA Security Clearance Active TS or higher Required Job Type Full Time Target Salary Range 115000 176000 This represents the potential salary range for this position depending on education level years of experience andor certifications in addition to other position specific requirements which may impact salary

Position Overview

Support advanced AIML 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 AIML compute storage and networking needsIntegrate public cloud platforms with on premises hyperconverged systems and accelerator hardware
• Infrastructure Automation Automate cloud infrastructure using DevSecOps practices and Infrastructure as Code IaC toolsEnhance automation practices and standardize processes across teams
• Secure Operations and Container Orchestration Support secure high availability operations for classified or mission critical AI applicationsManage container orchestration platforms and ensure efficient multi tenant operations
• Strengthen secure cloud operationsData and Model Governance Implement data and model governance practices to maintain secure AI pipelines

Qualifications

Education Bachelors degree RequiredExperience Minimum of 8 years of experience RequiredHands on experience with major cloud providers AWS Azure and GCP RequiredExperience with Kubernetes and cloud networkingstorage optimization RequiredSkills Knowledge of cloud engineering infrastructure or related technical roles RequiredKnowledge of AIML compute environments distributed systems or HPC RequiredSkills in IaC tools including Terraform Bicep and CloudFormation and DevSecOps pipelines RequiredStrong understanding of secure cloud practices and multi enclave operations RequiredEffective communication and cross team collaboration skills RequiredCloud and Enterprise Infrastructure Requirements Air gapped hybrid cloud and on premises operational environments including complex multi enclave ecosystemsAWS GovCloudSC2SC2S and GCP cloud platformsNutanix host and cluster configuration management with Prism Central and NDFS configuration and managementLocally hosted GPU serversCloud cost optimization techniquesOperating systems Linux including Rocky Red Hat Amazon and Ubuntu; Windows; and macOSNetworking and Cross Domain Requirements Cisco switching routing firewalling and site to site functionality such as IPsec DMVPN and SD WANMulti tenant Cross Domain Solutions CDSCloud networking and VPC configurationHigh assurance cross domain and encryption solutions including TACLANE and NCAPAutomation and Containerization Requirements Infrastructure as Code using Terraform and AnsibleContainerization and orchestration using Docker Kubernetes and OpenShiftAdvanced GitLab CICD pipelines and DevSecOps practicesSecurity and Identity Requirements Cloud native security implementation and security accreditation processesIdentity and access services Microsoft Active Directory LDAP OpenLDAP Entra ID and KeycloakData Services and Monitoring Requirements Enterprise database services RDS RDS Aurora and DynamoDBMonitoring logging and data platforms Elasticsearch OpenSearch and SplunkApplication Architecture and Development Requirements Serverless architectures using LambdaMicroservices architecture and API Gateway implementationDevelopment experience with Python NETC and related languagesPreferred Qualifications Experience with hybrid or multi cloud integrationsFamiliarity with GPUaccelerator hardware and AI optimized cloud patternsCloud certifications such as AWS Solutions Architect or Azure ArchitectExperience working in high security or classified environments