Full Stack Developer

Graham Technologies
Springfield, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Springfield, United States of America

Tech stack

Geographic Information Systems
API
Artificial Intelligence
Amazon Web Services (AWS)
Applications Architecture
Cloud Computing
Cloud Engineering
Computer Programming
Continuous Integration
Data as a Services
Information Engineering
DevOps
Monitoring of Systems
Python
Object-Oriented Software Development
Performance Tuning
Software Architecture
Release Management
Software Engineering
Systems Integration
TypeScript
Unstructured Data
Web Applications
Web Services
Workflow Management Systems
Amazon Web Services (AWS)
Enterprise Software Applications
Large Language Models
Prompt Engineering
Generative AI
AWS Lambda
Indexer
Containerization
Cloudwatch
REST
Software Version Control
Data Pipelines
Dynatrace
Devsecops
Docker
Microservices

Job description

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

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

Experience with:

  • 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

Benefits & conditions

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.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • 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

Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

About the company

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., Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do. We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.

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