Senior AWS Full-Stack Developer (TS/SCI) | Remote

Booz Allen Hamilton

Reston (VA)

Hybrid

USD 69,400 - 158,000

Full time

14 days+
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Job summary

Booz Allen Hamilton is seeking an AWS Full Stack Developer to create innovative end-to-end solutions in a dynamic environment. The role requires mastery of various tools and techniques as well as the ability to solve complex challenges with modern technologies.

Applicants should possess significant experience in UI/UX, back-end systems, and AWS services, along with an active TS/SCI clearance. The position offers a hybrid work model involving both remote and occasional in-person responsibilities.

Qualifications

  • 5+ years of experience with UI and UX, including a front‑end framework such as React.
  • 5+ years of experience with back‑end development, including Java, Python, Go, SQL, or C++.
  • 2+ years of experience with AWS services and cloud‑native architecture patterns.

Responsibilities

  • Create end-to-end solutions in a fast, agile environment.
  • Master new tools and techniques, identify system improvements.
  • Help clients solve challenging problems using the latest architectural approaches.

Skills

UI and UX experience with front-end framework
Back-end development with Java, Python, Go, SQL, or C++
Enterprise application development
AWS services and cloud-native architecture patterns
Infrastructure as Code (AWS CDK, Terraform, or CloudFormation)
Containerization (Docker, Kubernetes, or ECS)
Developing and deploying production applications

Education

HS diploma or GED

Tools

React
JavaScript
TypeScript
Python

Job description

Booz Allen Hamilton is seeking an AWS Full Stack Developer to create innovative end-to-end solutions in a dynamic environment. The role requires mastery of various tools and techniques as well as the ability to solve complex challenges with modern technologies.

Applicants should possess significant experience in UI/UX, back-end systems, and AWS services, along with an active TS/SCI clearance. The position offers a hybrid work model involving both remote and occasional in-person responsibilities.

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