Cloud Engineer

Booz Allen HamiltonNellis AFB, NV
1d

About The Position

Cloud Engineer The Opportunity: Everyone is trying to “harness the cloud,” but not everyone knows how. As a cloud computing professional with expertise in designing and implementing innovative cloud solutions, you understand how to take advantage of cloud capabilities to solve mission-critical challenges. You’ll use cutting-edge cloud platforms to help modernize systems that enable the integration, automation, and dissemination of real-time Intelligence, Surveillance, and Reconnaissance (ISR) data across critical platforms. You’ll collaborate with experienced cloud engineers and architects to design, deploy, and optimize secure and scalable cloud architectures. You’ll build and manage high-throughput data pipelines, automate workflows with DevOps tools, and work closely with analysts and operators to deliver customized insights for decision-makers. With hands-on access to industry-leading tools, including AWS Lambda, Terraform, and Azure Data Factory, you’ll drive innovation in automating mission workflows and integrating AI and ML models into advanced data systems. Whether modernizing legacy ISR systems or building entirely new cloud solutions, your expertise will empower warfighters and leadership with advanced technology capable of delivering actionable intelligence in future contested environments. Grow your skills, broaden your experience, and help shape the next generation of ISR systems. Join us. The world can’t wait.

Requirements

  • 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 such as Terraform or CloudFormation
  • Experience with container platforms such as Docker and Kubernetes for application orchestration and scalability
  • Experience integrating AI and ML models into data workflows using cloud-native tools such as AWS SageMaker or Azure ML
  • Experience implementing cloud-based security practices, including encryption and IAM role configuration
  • Knowledge of advanced data visualization platforms, including Elastic Stack, Grafana, Kibana, or Tableau
  • Ability to obtain a TS/SCI clearance
  • Bachelor’s degree in Computer Science or Data Engineering

Nice To Haves

  • Experience supporting intelligence or working with ISR or Intelligence Community (IC) platforms and workflows
  • Experience with Agile methodologies and DevSecOps principles in cloud environments
  • Experience operating in contested, degraded, or operationally constrained (CDO) communication environments
  • Knowledge of geospatial data visualization tools such as GeoServer or cloud-native GIS solutions
  • Master’s degree in Computer Science, Data Engineering, or a related field
  • AWS Solutions Architect or Azure Administrator Certification

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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