Job DescriptionJob Description
We are seeking an experienced Cloud Engineer to support mission-critical systems onsite at Nellis AFB in Las Vegas, NV. The engineer will design, implement, secure, and maintain cloud-based solutions in support of U.S. Air Force and Department of Defense (DoD) initiatives in a highly secure environment.
Key Responsibilities:
Design, deploy, and manage scalable, secure cloud architectures tailored to ISR mission requirements.Build and maintain high-throughput data pipelines for ingesting, processing, and disseminating ISR data in real or near-real time, leveraging tools such as AWS Lambda, Kinesis, and Azure Data Factory.Automate mission workflows and processes using DevOps practices and tools, including Terraform, Ansible, and Jenkins.Collaborate with ISR analysts and operators to develop advanced ISR data visualization capabilities using Elastic Stack, Grafana, Tableau, or similar tools.Integrate advanced applications and analytics, including AI/ML models, into ISR platforms for predictive insights and intelligence products.Ensure optimization and availability of ISR systems by implementing best practices for performance monitoring, resource scaling, and fault-tolerant architecture.Enable secure handling of ISR data by implementing DoD-compliant security frameworks, including encryption, IAM policies, and logging solutions.Troubleshoot issues across the pipeline, from ingestion to dissemination, to enable consistent system uptime and performance.
You Have:
5+ years of experience designing and deploying cloud architectures in platforms such as AWS or Azure. 5+ years of experience building and maintaining data pipelines for ingesting, transforming, and disseminating large datasets. Experience automating workflows and deploying Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Proficiency with container platforms like Docker and Kubernetes for application orchestration and scalability. Knowledge of advanced data visualization platforms, including Elastic Stack, Grafana, Kibana, or Tableau. Experience integrating AI/ML models into data workflows using cloud-native tools, such as AWS SageMaker or Azure ML. Hands-on experience implementing cloud-based security practices, including encryption and IAM role configuration. Bachelor's degree in Computer Science, Data Engineering, or a related field (equivalent work experience will be considered). Security Clearance: TS/SCI eligibility.
Nice If You Have:
Experience supporting intelligence or working with ISR or Intelligence Community (IC) platforms and workflows. Knowledge of geospatial data visualization tools, such as GeoServer or cloud-native GIS solutions. Familiarity with Agile methodologies and DevSecOps principles in cloud environments. AWS Solutions Architect or Azure Administrator certification.
Experience operating in contested, degraded, or operationally constrained (CDO) communication environments. Master's degree in Computer Science, Data Engineering, or a related discipline.
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