AWS Engineer
Booz Allen Hamilton•Honolulu, HI
•$77,600 - $176,000
About The Position
As an AWS Edge Computing Engineer, you will design and deliver secure, portable, high-performance compute solutions for demanding environments, including disconnected battlefields and remote locations. The role focuses on integrating AI models at the edge and using AWS IoT Greengrass, Snowball Edge, and SageMaker to build systems that operate reliably in challenging conditions. You will apply zero-trust security and rugged-reliability principles while supporting mission operations.
Requirements
- Experience with AWS IoT Greengrass, Snowball Edge, or SageMaker Edge Manager for deploying and managing workloads at the tactical edge.
- Experience deploying optimized AI and machine-learning models to edge devices, including quantization, pruning, or model telemetry at the edge, or implementing secure boot, artifact signing, or encryption at rest or in transit.
- Experience with containerization technologies, micro-service network architecture, or CI/CD tools, including GitLab.
- Experience with Agile methodology, extreme programming, software engineering, product management, and software products.
- Experience creating solutions to complex problems within a collaborative, cross-functional team.
- Knowledge of the broader ecosystem and technical environment of software programming.
- Ability to obtain a Secret clearance.
- Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
Nice To Haves
- Experience with SD-WAN, 5G, NextG, and satellite connectivity.
- Experience incorporating Software Bill of Materials (SBOM), vulnerability scanning, and compliance-as-code for secure deployments.
- Experience orchestrating OTA updates and rollback strategies over constrained links.
- Experience with AWS Outposts and hybrid architectures for tactical and disconnected environments.
- Top Secret clearance.
- AWS Certified Solutions Architect certification.
Responsibilities
- Design and deliver secure, portable, high-performance edge-computing solutions.
- Integrate AI models at the edge and deploy and manage workloads in tactical environments.
- Build systems designed to operate in disconnected and remote environments.
Benefits
- Health, life, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards program.
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What This Job Offers
Job Type
Full-time
