Edge Network Engineer, Lead

The Opportunity:

Architect the Edge. Connect the Mission.Join us to design the backbone of tomorrow’s secure, resilient edge networks that power critical operations anywhere in the world. As anEdge Network Engineer,you’lllead architecture and integration for Cloud-to-Tactical Edge solutions, enabling portablecomputeplatforms to thrive in disconnected, contested environments.

Yourexpertisein network design, zero-trust security, and sensor data fusion will shape systems that deliver real-time intelligence from varied sources, such as video, telemetry, and IoT, under extreme conditions.

Ifyou’reready to engineer connectivity where it mattersmost andwant to make an impact at the intersection of advanced networking and mission-critical technology, this is your chance.Design, secure, and deliver anywhere.

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

Join us. The worldcan’twait.

You Have:

• 5+ years of experience designing secure, resilient network topologies for edge deployments, including LAN or WAN, SD-WAN, tactical mesh, and hybrid cloud connectivity

• 5+ years of experience implementing zero-trust principles, encrypted channels, and hardened protocols for adversarial environments

• 5+ years of experience with leading end-to-end architecture for portable compute platforms integrating compute, storage, and networking under SWaP-C constraints

• Experience with designing deterministic data paths for real-time situational awareness and decision support, and creating solutions to complex problems within a collaborative, cross-functional team

• 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

• 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 deploying optimized AI models to embedded targets

• Experience with AI model quantization, pruning, and model telemetry at the edge

• Experience with AWS Outposts and hybrid architectures for tactical and disconnected environments

• Top Secret clearance

• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering

• AWS IoT Core or Greengrass Certification, or Solutions Architect Certification

• AWS Advanced Networking Specialty Certification or CompTIA Security+, CASP+, or CISSP 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.

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.