Job Description
Job Description
Job Title: Full Stack Developer
Location: AWS IAD21 (Herndon, VA) and Customer Site (Springfield, VA)
Work Schedule: Approximately 50% onsite within SCIF environments at AWS Herndon and Springfield customer locations
Our client is seeking two experienced Full Stack Developers to support a mission-critical AWS Professional Services engagement within the Intelligence Community. The selected candidates will develop and maintain cloud-native applications, geospatial services, and Generative AI capabilities while supporting secure deployments across classified environments.
This role requires strong expertise in Python development, full-stack engineering, AWS cloud-native technologies, Infrastructure as Code, and modern AI/LLM platforms such as Amazon Bedrock.
Key Responsibilities
Full Stack Development
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Design, develop, test, and maintain enterprise-scale web applications
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Build and support Python-based microservices and API services
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Develop modern front-end applications using TypeScript and contemporary frameworks
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Implement scalable cloud-native architectures supporting mission operations
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Support application modernization and feature enhancements
Generative AI Development
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Design and develop applications utilizing Amazon Bedrock and other Generative AI technologies
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Integrate Large Language Models (LLMs) into operational workflows
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Develop Retrieval-Augmented Generation (RAG) and AI-powered automation solutions
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Collaborate with stakeholders to identify and implement AI use cases
Cloud & DevOps Engineering
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Deploy and manage AWS-native application architectures
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Build Infrastructure as Code solutions using AWS CDK
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Design and maintain CI/CD pipelines supporting classified deployments
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Support cross-fabric deployments and secure cloud operations
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Implement DevSecOps practices throughout the software development lifecycle
Geospatial & Data Services
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Develop services supporting geospatial data processing and analysis
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Build and consume OGC-compliant APIs
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Integrate OpenSearch capabilities for indexing and discovery
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Support baseline data engineering requirements and cloud data workflows
Observability & Operations
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Implement CloudWatch dashboards, alarms, and monitoring solutions
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Configure telemetry, distributed tracing, and operational alerting
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Develop CloudWatch Synthetics canaries and health monitoring capabilities
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Support troubleshooting, performance tuning, and operational readiness
Required Qualifications
Security Requirements
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Active TS/SCI clearance with current CI Polygraph
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Eligible for SBU and COE customer accounts
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Ability to work within SCIF environments daily or as required
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Experience supporting classified Intelligence Community environments
Software Engineering
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7+ years of professional Python development experience
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7+ years of Full Stack development experience
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Experience developing and supporting production-grade enterprise applications
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Strong knowledge of object-oriented design and software architecture
Cloud Technologies
Experience with:
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AWS Lambda
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Amazon ECS
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Amazon OpenSearch
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Amazon CloudWatch
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AWS networking and security services
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Cloud-native application architecture patterns
Infrastructure & DevOps
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AWS CDK (Infrastructure as Code)
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CI/CD pipeline development and automation
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Source control and release management
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Cloud deployment and operational support
Programming Technologies
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Python
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TypeScript
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REST API development
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Microservices architecture
Generative AI
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Experience developing tools or applications utilizing Amazon Bedrock or similar Generative AI platforms
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Experience integrating LLMs into production environments
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Understanding of prompt engineering and AI workflow design
Preferred Qualifications
Security & Compliance
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Authority to Operate (ATO) experience
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Cross-fabric deployment experience
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NIST security controls and compliance experience
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DevSecOps implementation expertise
Cloud & Containers
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Docker containerization
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Secure cloud deployment architectures
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AWS production operations experience
Geospatial Technologies
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GeoAxis experience
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Geospatial data processing and analytics
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OGC-compliant services and APIs
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Geospatial search and indexing platforms
Data Engineering
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Data pipeline development
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Cloud-native analytics architectures
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Structured and unstructured data processing
Monitoring & Observability
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CloudWatch dashboards and monitoring
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Distributed tracing
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Telemetry collection and analysis
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Operational alerting and incident response
