Application Development Lead

Description Vickers and Nolan Enterprises (VNE) is an engineering company that provides Government projects and programs with experienced and dedicated system architects, engineers, subject matter experts (in tactical intelligence), and program managers. VNE also develops training courses and tools to prepare warfighters to effectively employ tactical intelligence systems and provide management guidance to the Government organizations that develop these systems.

VNE has earned a reputation for exceptional performance, innovation, agility, and responsiveness in the Intelligence Community (IC). We attack our mission with a comprehensive understanding of the data available and required; skilled research, design, development, integration, and testing of systems and software solutions; expertise in cybersecurity/information assurance and technology; programmatic, acquisition, and logistics support know-how; and our own unique training curricula that enables students to excel at intelligence operations across all levels of the community.

VNE is devoted to improving tactical operations at home and abroad by enabling the seamless transition of data across the intelligence community and developing/integrating solutions to unify operations and intelligence.

VNE is a Service Disabled Veteran Owned Small Business (SDVOSB) founded in 2004 in Stafford, VA.QualificationsVNE, LLC is looking for a TS/SCI Cleared Application Development Lead

Minimum Qualifications:

Education:

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical discipline.

Experience:

10+ years of experience leading complex software development programs.
5+ years of experience serving as a development lead, solution architect, or technical lead on enterprise-scale systems.

Experience with cloud-native application architectures, microservices, API development, and secure software engineering.

Demonstrated experience implementing Agile and Dev Sec Ops  methodologies.

Experience integrating AI/ML capabilities into operational applications.

Active TS/SCI clearance or eligibility to obtain and maintain TS/SCI access.

Desired Qualifications Experience supporting USSOCOM, Geographic Combatant Commands, Joint Staff organizations, or defense intelligence programs.

Experience developing command-and-control, mission planning, operational assessment, or decision-support systems.

Knowledge of military planning processes, campaign assessment methodologies, and operational workflow modernization.

Experience with graph-based data models, knowledge management systems, and AI-enabled analytics platforms.

Familiarity with data governance, interoperability frameworks, and enterprise integration patterns within DoD environments.

Key Performance Indicators On-time delivery of software increments and releases.

Reduction in manual workflow steps and reporting burden.

Successful integration of data sources and mission applications.

User adoption and operational effectiveness of delivered applications.

Compliance with cybersecurity, interoperability, and performance requirements.

Successful support of operational decision-making through AI-enabled capabilities.

Job Description:

The Application Development Lead will oversee the architecture, design, development, integration, testing, deployment, and sustainment of an AI-enabled software ecosystem. This individual serves as the principal software engineering authority, ensuring that all applications, workflows, analytics capabilities, and user interfaces are delivered in alignment with mission objectives, security requirements, interoperability standards, and user operational needs. The role is central to transforming manual, fragmented reporting processes into modern, integrated digital workflows that provide commanders and staff with real-time operational awareness and decision-quality insights.

Primary Responsibilities Lead the end-to-end software development lifecycle for all application components supporting campaign management, operational planning, assessment, and workflow automation capabilities.

Define and maintain the technical architecture for AI-enabled applications, workflow services, APIs, user interfaces, analytics dashboards, and decision-support tools.

Direct Agile and spiral-development activities to iteratively deliver capabilities, incorporate user feedback, and mature operational functionality throughout the period of performance.

Collaborate with data engineers, AI/ML engineers, UX designers, mission…