Cloud Engineer (AI) - Senior (Active Top Secret required)

Description

The company is a technology firm serving the US federal government, with more than 13,000 people working across defense, national security, public safety, civilian, and military health organizations.

The team uses technology to help federal agencies make the nation safer and to improve services for the public.

The company describes itself as a collaborative group where staff can build skills through hands-on work, certifications, and industry training.

Responsibilities

• Design and build cloud architectures suited to AI and ML compute, storage, and networking.
• Automate cloud infrastructure with DevSecOps practices and Infrastructure as Code (IaC) tools.
• Connect public cloud platforms with on-premises hyperconverged systems and accelerator hardware.
• Keep classified and mission critical AI applications secure and highly available.
• Run container orchestration platforms and keep multi-tenant environments efficient.
• Put data and model governance practices in place to keep AI pipelines secure.

Requirements

• Bachelor's degree.
• 8+ years in cloud engineering, infrastructure, or closely related technical work.
• Practical experience with AWS, Azure, or GCP.
• Understanding of AI/ML compute environments, distributed systems, or HPC.
• Skill with IaC tools such as Terraform, Bicep, or CloudFormation, and with DevSecOps pipelines.
• Experience with Kubernetes and with optimizing cloud networking and storage.
• Strong grasp of secure cloud practices and operating across multiple enclaves.
• Clear communication and the ability to work across teams.
• 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 in high security or classified environments.
• Air-gapped hybrid cloud and on-premises operations, including complex multi-enclave setups.
• AWS GovCloud, SC2S, C2S, and GCP platforms; Nutanix host and cluster setup and management with Prism Central; NDFS setup and management.
• Cisco switching, routing, firewalling, and site-to-site links such as IPsec, DMVPN, and SD-WAN.
• Locally hosted GPU servers.
• Multi-tenant Cross-Domain Solutions (CDS).
• IaC with Terraform and Ansible.
• Containers and orchestration with Docker, Kubernetes, and OpenShift.
• Cloud-native security implementation and security accreditation processes.
• Advanced GitLab CI/CD pipelines and DevSecOps practices.
• Enterprise database services including RDS, RDS Aurora, and DynamoDB.
• Serverless architectures using Lambda.
• Cloud networking and VPC configuration.
• Monitoring, logging, and data platforms such as Elasticsearch, OpenSearch, and Splunk.
• Microservices architecture and API Gateway implementation.
• Development in Python,.NET/C, and related languages.
• Identity and access services such as Microsoft Active Directory, LDAP / OpenLDAP, Entra ID, and Keycloak.
• High assurance cross-domain and encryption solutions such as TACLANE and NCAP.
• Techniques for cutting cloud costs.
• Operating systems including Linux (e.g., Rocky, RedHat, Amazon, Ubuntu), Windows, and Mac OS.
• The role supports advanced AI/ML workloads by designing secure, scalable cloud environments for multi-enclave and high security settings, including distributed model training, high performance compute, and low latency inference. You will improve automation, standardize processes across teams, and strengthen secure cloud operations.

Conditions

Active Top Secret clearance is required.

Onsite work.

Pay range of $94,000 - $187,600 USD, shown for the listed states and the District of Columbia: California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia.

Pay depends on factors such as office location, role, skill set, and experience.

Applications are accepted on an ongoing basis with no fixed deadline.

The company provides equal opportunity to all employees.

Benefits

• Opportunities to grow and learn through hands-on experience, certifications, and industry training.
• A wide range of benefits.