The Opportunity:
How do you employ AI within a secure architecture from the start? You first have an understanding how to architect, automate, and operate. You don’t just “bake in” cybersecurity ─ you design AI‑enabled, cloud‑native security frameworks that harden unmanned and autonomous platforms, reduce attack surface, and give warfighters the advantage in the most contested environments. What if your expertise in cyber engineering, AI-driven analytics, and cloud automation could shape how the U.S. Navy defends, commands, and scales the next generation of unmanned systems?
We’re looking for a cyber engineer who can architect secure, intelligent, and data‑driven capabilities for the Navy’s rapidly expanding unmanned and autonomous fleet. This role blends cybersecurity engineering with cloud dashboard development, autonomy integration, and AI‑powered decision support, ensuring these platforms can withstand the most advanced cyber threats while accelerating mission execution.
Work with us as we protect and advance unmanned and uncrewed platforms in the Navy.
What You'll Work On:
Engineer automated workflows using Azure Logic Apps, Power Automate, Azure Functions, and API integrations.
Build cloud native automation pipelines that collect, transform, and analyze cybersecurity telemetry from distributed platforms, integrated across PAE or PMO.
Build AI-enabled auto-evaluation that visualize threats, vulnerabilities, and mission readiness for unmanned and autonomous systems.
Collaborate with platform engineers, autonomy specialists, and Navy cyber teams to align dashboards with operational needs.
Join us. The world can't wait.
You Have:
3+ years of experience with Azure automation services
2+ years of experience with Navy or DoD programs
Experience with C# or Python
Experience with REST APIs and cloud integration
Experience developing cyber dashboards or mission analytics tools
Ability to interact with technical managers and architecture teams to articulate data requirements to drive forward implementation
Secret clearance
Bachelor’s degree in Computer Science, Cybersecurity, or an Engineering field
Nice If You Have:
Experience in unmanned or autonomous systems
Experience with DoD cybersecurity, RMF, and Zero Trust
Experience with IaC, CI/CD, or GitHub or Azure DevOps
Knowledge of AI and ML
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
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 $86,800.00 to $198,000.00 (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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.
Based on 7,643 disclosed Software salaries on RoleSuite, the role pays a median of $158K/year, with most offers between $123K and $200K (10th–90th percentile: $101K–$236K).
This posting lists $87K–$198K, in line with the $158K market median.
See the full Software salary breakdown →