AWS Engineer

Booz Allen Hamilton

Honolulu (HI)

On-site

USD 78,000 - 176,000

Full time

3 days ago
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Job summary

Booz Allen Hamilton in Honolulu, HI is seeking an AWS Edge Computing Engineer to design secure, portable, high-performance compute solutions for mission-critical environments. You will build edge architectures that thrive in disconnected or remote locations with zero-trust security and rugged reliability.

You will integrate AI models at the edge using AWS IoT Greengrass, Snowball Edge, and SageMaker Edge Manager, and collaborate across teams to deploy edge workloads that empower the mission.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering required.
  • Experience deploying workloads at the edge with AWS IoT Greengrass, Snowball Edge, or SageMaker Edge Manager.
  • Strong background in edge AI/ML deployment, security at rest and in transit, and zero-trust architectures.

Responsibilities

  • Design and deliver secure, portable, high-performance edge compute solutions for mission-critical environments.
  • Integrate AI models at the edge using AWS IoT Greengrass, Snowball Edge, and SageMaker Edge Manager.
  • Deploy edge workloads in challenging environments including disconnected and remote locations.
  • Ensure zero-trust security and rugged reliability for edge systems.

Skills

AWS IoT Greengrass
SageMaker Edge Manager
Edge AI deployment
CI/CD tools GitLab
Containerization
Agile software development
Secret clearance
Bachelor's degree in CS/CE/EE

Education

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

Tools

GitLab CI/CD
Docker

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 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 with deploying optimized AI and ML 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 If You Have:


  • Experience with SD-WAN, 5g, NextG, and satellite connectivity

  • Experience with 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 Engineer

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 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 with deploying optimized AI and ML 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 If You Have:


  • Experience with SD-WAN, 5g, NextG, and satellite connectivity

  • Experience with 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.

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