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Senior Full Stack Engineer Security Clearance

Job in Fort Bragg, Cumberland County, North Carolina, 28307, USA
Listing for: Agile Defense, Inc.
Full Time position
Listed on 2025-12-11
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, Cloud Computing
Job Description & How to Apply Below
Position: Senior Full Stack Engineer with Security Clearance
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition #: 1324

Title:

Senior Full Stack Engineer
Clearance:
Active TS/SCI Required

Location:

Fort Bragg, NC Overview:
Agile Defense is an award-winning national security company looking for a senior Full Stack Engineer to support a Special Operations contract. Position will assist special operations organizations in storing and visualizing data in web applications, work with the client to provide the best and most efficient solutions to their data challenges.
As a direct employee of Agile Defense, you would receive a benefit package that includes health/dental/vision insurance coverage, 401K with company match, PTO & paid holidays, and annual tuition/training assistance. For more information, please visit our website. Responsibilities/Duties:
• Architect and develop backend services supporting data ingestion, search, indexing, and retrieval across structured and unstructured data sources.

• Design and implement APIs and microservices enabling metadata management, search operations, and secure access across multiple environments.

• Engineer and maintain unified access control layers and data models to protect and operationalize analytical and mission data.

• Implement Dev Sec Ops  practices including CI/CD pipelines, infrastructure-as-code, and continuous monitoring across classified and unclassified networks.

• Ensure system reliability and compliance with cybersecurity and accreditation requirements, including RMF and NIST 800-53.

• Collaborate with data science, cloud, and frontend teams to deliver end-to-end technical solutions aligned to mission needs.

• Provide technical leadership through design documentation, code reviews, mentoring, and enforcement of engineering best practices.

• Support applied research and innovation efforts by integrating emerging AI/ML, search, and data technologies into operational systems.

Qualifications:

• Minimum of 7 years of professional experience in backend, systems, or full-stack engineering.

• Bachelor's degree in a related technical field required.

• U.S. Citizenship required due to government contract requirements.

• Active TS/SCI clearance is required. Candidates without this clearance will not be considered.

• Advanced proficiency in backend programming languages, including Python and Go.

• Strong understanding of search and data systems, including indexing strategies, query optimization, and caching.

• Experience designing and managing databases such as Postgre

SQL, Elasticsearch, or Open Search.

• Proven experience with cloud infrastructure, preferably AWS.

Hands-on experience with containerization and orchestration using Docker and Kubernetes.

• Strong Dev Sec Ops  background, including CI/CD tools (Git Lab CI, ArgoCD) and infrastructure-as-code (Helm, Terraform, Ansible).

• Experience building secure, compliant systems in federal, DoD, or Intelligence Community environments.

• Familiarity with distributed systems, secure API design, and service-to-service communication.

Preferred Qualifications:

• Prior experience supporting DoD, Intelligence Community, or federal agency missions.

• Knowledge of federated search, knowledge graphs, or data catalog technologies.

• Experience integrating machine learning or natural language processing models into search or data pipelines.

• Proficiency with data visualization, operational analytics, or dashboard frameworks.

• Background in model-based systems engineering (MBSE) or large-scale systems architecture. WORKING CONDITIONS Environmental Conditions

• Possible off-hours work to support needs of the business.
Strength Demands

• Light - 20 lbs. Maximum lifting with frequent lift/carry up to 10 lbs. A job is…
Position Requirements
10+ Years work experience
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