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# Full-stack Software Engineer, Mid

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Dayton, OH, United States
- **Experience:** Experienced
- **Salary:** $69,300.0 - $158,000.0
- **Contract:** Permanent contract
- **Skills:** HTML, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, C++ (Programming Language), Cascading Style Sheets (CSS), Software Quality, Code Review, Continuous Integration, Amazon DynamoDB, Elasticsearch, Geospatial Intelligence, Github, Information Systems Security Architecture Professional, Python (Programming Language), PostgreSQL, MongoDB, Node.Js, NoSQL, Object-Oriented Software Development, Scrum Methodology, Queueing Systems, Cloud Services, Standard Sql, Software Engineering, SQLite, User-Centered Design, Web Application Frameworks, ReactJS, Backend, Gitlab, Cloudformation, Fastapi, Vue.js, Event Driven Architecture, AngularJS, Kubernetes, Information Technology, Extreme Programming, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Grpc, Devsecops, Docker, Vulnerability Analysis, Microservices
- **Published:** June 23, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8989817/full-stack-software-engineer-mid

## About the Role

* 4+ years of experience with full-stack software development
 * Experience with modern object-oriented languages such as Python, C++, or Java
 * Experience with at least one front-end framework such as React, Angular, or Vue or with HTML, CSS, and JavaScript
 * Experience developing and consuming FastAPI, REST, gRPC, or GraphQL APIs
 * Experience with Docker and Kubernetes
 * Experience deploying to AWS or Azure cloud environments
 * Experience with GitLab, GitHub, or Jenkins CI/CD automation
 * Experience working with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite
 * Active TS/SCI clearance; willingness to take a polygraph exam
 * Bachelor's degree in a STEM field

Nice If You Have:

 * Experience with Agile methodology, extreme programming, software engineering, product management, and software products
 * Experience with microservices patterns, event-driven architectures, or message queues including Kafka, SNS, or SQS
 * Experience integrating synthetic data, analytic models, or ML pipelines into applications
 * Experience with Elasticsearch, OpenSearch, or distributed search systems
 * Experience with user-centered design or reusable component libraries
 * Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode
 * Master's degree in Computer Science or Software Engineering

## Description

Bring your full-stack engineering expertise to help modernize GEOINT and national security mission systems. As a mid-level engineer, you'll build cloud-native microservices, develop scalable front-end interfaces, and support the transformation of legacy analytical pipelines into modern, secure architectures that directly empower analysts in exploitation, tracking, visualization, and reporting workflows. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes., * Implement end-to-end features across modern front-end frameworks such as React, Angular, or Vue and back-end microservices such as Python, Java, or Node.js.

 * Build, enhance, and integrate API frameworks, such as FastAPI, RESTful, gRPC, or GraphQL APIs.
 * Develop scalable services using containerized workloads, including Docker, orchestrated with Kubernetes.
 * Support cloud deployments such as AWS or Azure, including IaC using Terraform or CloudFormation.
 * Contribute to modern DevSecOps practices, including automated testing, code quality enforcement, GitLab, GitHub, CI/CD pipelines, and security scanning.
 * Participate in Agile sprint planning, backlog refinement, peer code reviews, and user-focused design discussions.
 * Integrate data, ML-enabled, or analytic pipeline components into mission workflows, working closely with data engineers and analysts.
 * Troubleshoot issues across the full stack and contribute to team-wide engineering improvements.


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