AWS Edge Engineer, Senior

Booz Allen Hamilton; Honolulu (HI); Hybrid; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an AWS Edge Computing Engineer to design secure, portable, high-performance compute solutions for challenging environments. You will integrate AI models at the edge and leverage AWS IoT Greengrass, Snowball Edge, and SageMaker Edge Manager to operate anywhere, anytime with strong security.

Join a mission-focused team that shapes cloud-enabled edge capabilities across tactical and remote settings, collaborating with cross-functional groups to deliver resilient

Qualifications

• Experience deploying and managing workloads at the tactical edge
• Experience syncing solutions with AWS Cloud and operating autonomously at the edge
• Experience deploying AI/ML models to edge devices with secure boot and encryption
• Experience containerization and CI/CD with GitLab
• Experience working in Agile environments and cross-functional teams
• Knowledge of software programming ecosystems and environments
• Ability to obtain a Secret clearance
• Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering

Skills

AWS edge services

Edge AI/ML deployment

Containerization

CI/CD (GitLab)

Agile methodologies

Cross-functional teamwork

Security clearance readiness

Bachelors in CS/CE/EE

Education

Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering

Tools

AWS IoT Greengrass

Snowball Edge

SageMaker Edge Manager

GitLab

Job description

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Bring the Cloud to the Edge—anywhere, anytime. Engineer the Edge and empower the mission. Step into a role where your work bridges Cloud innovation and tactical resilience. As an AWS Edge Computing Engineer, you’ll design and deliver secure, portable, and high-performance compute solutions that thrive in the toughest environments—from disconnected battlefields to remote locations.

You’ll integrate AI models at the edge, leverage AWS IoT Greengrass, Snowball Edge, and SageMaker, and build systems that operate anywhere, anytime with zero-trust security and rugged reliability.

If you’re passionate about AI-driven edge computing and want to make an impact where technology meets mission-critical operations, this is your chance to lead the future.

Work with us to expand your tech skills and make a meaningful difference.

Join us. The world can’t wait.

You Have:

• Experience with AWS IoT Greengrass, Snowball Edge, or SageMaker Edge Manager for deploying and managing workloads at the tactical edge
• Experience building packaged solutions that sync with AWS Cloud, including operating autonomously in tactical edge scenarios
• Experience deploying optimized AI/ML models to edge devices, including quantization, pruning, and model telemetry at the edge, and implementing secure boot, artifact signing, and encryption at rest or in transit
• Experience with containerization technologies, micro-service network architecture, and 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 If You Have:

• Experience with SD-WAN, 5G or 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
• AWS Certified Solutions Architect Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

AWS Edge Engineer, Senior

The Opportunity:

Bring the Cloud to the Edge—anywhere, anytime. Engineer the Edge and empower the mission. Step into a role where your work bridges Cloud innovation and tactical resilience. As an AWS Edge Computing Engineer, you’ll design and deliver secure, portable, and high-performance compute solutions that thrive in the toughest environments—from disconnected battlefields to remote locations.

You’ll integrate AI models at the edge, leverage AWS IoT Greengrass, Snowball Edge, and SageMaker, and build systems that operate anywhere, anytime with zero-trust security and rugged reliability.

If you’re passionate about AI-driven edge computing and want to make an impact where technology meets mission-critical operations, this is your chance to lead the future.

Work with us to expand your tech skills and make a meaningful difference.

Join us. The world can’t wait.

You Have:

• Experience with AWS IoT Greengrass, Snowball Edge, or SageMaker Edge Manager for deploying and managing workloads at the tactical edge
• Experience building packaged solutions that sync with AWS Cloud, including operating autonomously in tactical edge scenarios
• Experience deploying optimized AI/ML models to edge devices, including quantization, pruning, and model telemetry at the edge, and implementing secure boot, artifact signing, and encryption at rest or in transit
• Experience with containerization technologies, micro-service network architecture, and 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 If You Have:

• Experience with SD-WAN, 5G or 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

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.