Full Stack Developer

Graham Technologies•Springfield, VA

8d•Hybrid

About The Position

Graham Technologies 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.

Requirements

Active TS/SCI clearance with current CI Polygraph
Eligible for SBU and COE customer accounts
Ability to work within SCIF environments daily or as required
Experience supporting classified Intelligence Community environments
7+ years of professional Python development experience
7+ years of Full Stack development experience
Experience developing and supporting production-grade enterprise applications
Strong knowledge of object-oriented design and software architecture
Experience with AWS Lambda
Experience with Amazon ECS
Experience with Amazon OpenSearch
Experience with Amazon CloudWatch
Experience with AWS networking and security services
Experience with Cloud-native application architecture patterns
AWS CDK (Infrastructure as Code)
CI/CD pipeline development and automation
Source control and release management
Cloud deployment and operational support
Python
TypeScript
REST API development
Microservices architecture
Experience developing tools or applications utilizing Amazon Bedrock or similar Generative AI platforms
Experience integrating LLMs into production environments
Understanding of prompt engineering and AI workflow design

Nice To Haves

Authority to Operate (ATO) experience
Cross-fabric deployment experience
NIST security controls and compliance experience
DevSecOps implementation expertise
Docker containerization
Secure cloud deployment architectures
AWS production operations experience
GeoAxis experience
Geospatial data processing and analytics
OGC-compliant services and APIs
Geospatial search and indexing platforms
Data pipeline development
Cloud-native analytics architectures
Structured and unstructured data processing
CloudWatch dashboards and monitoring
Distributed tracing
Telemetry collection and analysis
Operational alerting and incident response

Responsibilities

Design, develop, test, and maintain enterprise-scale web applications
Build and support Python-based microservices and API services
Develop modern front-end applications using TypeScript and contemporary frameworks
Implement scalable cloud-native architectures supporting mission operations
Support application modernization and feature enhancements
Design and develop applications utilizing Amazon Bedrock and other Generative AI technologies
Integrate Large Language Models (LLMs) into operational workflows
Develop Retrieval-Augmented Generation (RAG) and AI-powered automation solutions
Collaborate with stakeholders to identify and implement AI use cases
Deploy and manage AWS-native application architectures
Build Infrastructure as Code solutions using AWS CDK
Design and maintain CI/CD pipelines supporting classified deployments
Support cross-fabric deployments and secure cloud operations
Implement DevSecOps practices throughout the software development lifecycle
Develop services supporting geospatial data processing and analysis
Build and consume OGC-compliant APIs
Integrate OpenSearch capabilities for indexing and discovery
Support baseline data engineering requirements and cloud data workflows
Implement CloudWatch dashboards, alarms, and monitoring solutions
Configure telemetry, distributed tracing, and operational alerting
Develop CloudWatch Synthetics canaries and health monitoring capabilities
Support troubleshooting, performance tuning, and operational readiness