Windows CNO Developer

Booz Allen Hamilton•Columbia, MD

3h•$86,900 - $198,000•Onsite

About The Position

As a CNO developer, you know that embedded and application developers, reverse engineers, and vulnerability analysts all play key roles in the CNO capability development lifecycle. We’re looking for someone like you to flex your problem-solving prowess in a rapidly evolving systems ecosystem and development environment. As a Windows CNO Developer on our team, you will work with applied AI developers, AI/ML engineers, and software engineers in the development of systems to enable operations. With your experience in developing applications for Windows systems, you’ll provide critical insight which will shape solutions. You’ll inform operational parameters for complex systems and leverage artificial intelligence and machine learning to influence the delivery of your work. Using your network operations expertise, you’ll determine what the art of the possible is and what can be done—and then you’ll bring it to life for your clients. Help us combat the most advanced adversaries and defend national security. Join us. The world can’t wait.

Requirements

6+ years of experience programming with object-oriented programming languages
4+ years of experience developing Windows applications
Experience with developing complex programs using C, C++, or C#
Experience with programming languages such as Rust or Python
Experience implementing software lifecycle management requirements, including design, develop, test, validate, or deploy
TS/SCI clearance with a polygraph
Bachelor's degree in Computer Science and 1+ years of experience with software development, or 6+ years of experience with software development in lieu of a degree

Nice To Haves

Experience using AI to assist with development
Experience with technical processes to validate and verify Windows-focused embedded software

Responsibilities

Develop systems to enable operations.
Provide critical insight to shape solutions based on experience developing applications for Windows systems.
Inform operational parameters for complex systems.
Leverage artificial intelligence and machine learning to influence the delivery of work.
Determine and implement the art of the possible using network operations expertise.