Full Stack Developer

Job Overview 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. 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 Key Responsibilities Full Stack Development 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 Generative AI Development 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 Cloud & DevOps Engineering 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 Geospatial & Data Services 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 Observability & Operations 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 Required Qualifications Security 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 Software Engineering 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 Cloud Technologies AWS Lambda Amazon ECS Amazon OpenSearch Amazon CloudWatch AWS networking and security services Cloud‑native application architecture patterns Infrastructure & DevOps AWS CDK (Infrastructure as Code) CI/CD pipeline development and automation Source control and release management Cloud deployment and operational support Programming Technologies Python TypeScript REST API development Microservices architecture Generative AI 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 Preferred Qualifications Security & Compliance Authority to Operate (ATO) experience Cross‑fabric deployment experience NIST security controls and compliance experience DevSecOps implementation expertise Cloud & Containers Docker containerization Secure cloud deployment architectures AWS production operations experience Geospatial Technologies GeoAxis experience Geospatial data processing and analytics OGC‑compliant services and APIs Geospatial search and indexing platforms Data Engineering Data pipeline development Cloud‑native analytics architectures Structured and unstructured data processing Monitoring & Observability CloudWatch dashboards and monitoring Distributed tracing Telemetry collection and analysis Operational alerting and incident response Compensation & Benefits Four Weeks of Accrued PTO in the First Year Eleven Paid Federal Holidays Comprehensive Health, Dental, Vision, and Life Insurance 401(k) Plan with Annual Employer Contributions Flexible Schedules Reimbursements for Continued Education and Training At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity. Thank you for your interest. Please submit your application through our recruiting portal. #J-18808-Ljbffr