Mid Cloud Engineer
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-08-22
Listing for:
Strategic ACI
Full Time
position Listed on 2026-08-22
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer
Job Description & How to Apply Below
Responsibilities:
- Collaborate with software, platform, and Dev Sec Ops engineers to design, build, and deploy secure cloud-based T&E environments.
- Provision, configure, and manage GPU-enabled compute resources supporting AI/ML model testing and evaluation.
- Develop and maintain automated cloud infrastructure that enables scalable T&E-as-a-Service (T&EaaS) capabilities.
- Design cloud architectures supporting parallel model evaluation, workload orchestration, and efficient resource utilization.
- Implement centralized artifact management solutions supporting AI/ML models, evaluation outputs, datasets, and software packages.
- Optimize cloud infrastructure for performance, scalability, reliability, and cost efficiency across T&E workloads.
- Develop automation that accelerates deployment, execution, and monitoring of AI/ML evaluation pipelines.
- Collaborate with AI/ML Test Engineers, Data Scientists, Computer Vision Scientists, and Platform Engineers to integrate cloud services into enterprise T&E workflows.
- Monitor cloud resources, troubleshoot infrastructure issues, and implement performance improvements supporting mission operations.
- Produce technical documentation supporting cloud architecture, infrastructure automation, deployment procedures, and operational best practices.
Required:
- Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related STEM field (or additional relevant experience in lieu of a degree).
- 5+ years of experience developing or supporting cloud-based software or infrastructure solutions.
- Experience with AWS, Azure, or comparable cloud computing platforms.
- Experience provisioning and managing Linux-based compute environments.
- Familiarity with GPU-enabled computing environments supporting AI/ML workloads.
- Experience with Infrastructure as Code tools such as Terraform, AWS Cloud Formation, or Ansible.
- Experience developing automation using Python, Bash, Power Shell, or similar scripting languages.
- Experience using Git and modern software development practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work effectively within Agile and Dev Sec Ops development teams.
Desired:
- Experience supporting DoD, NGA, or Intelligence Community programs.
- Experience supporting AI/ML operational environments, T&E infrastructure, or MLOps platforms.
- Experience with Kubernetes, Docker, container orchestration, and cloud-native application deployment.
- Familiarity with workload schedulers, distributed computing, or parallel processing environments.
- Experience supporting GPU clusters used for AI/ML model training, inference, or evaluation.
- Familiarity with secure cloud architectures, RMF, and Authority to Operate (ATO) requirements.
- Experience supporting GEOINT systems or enterprise AI/ML evaluation environments.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×