Full Stack Developer, Mid

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Aurora, CO
Salary: $69,400–$158,000 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k

This role $114k

$52k most similar roles pay here $228k

This role pays less than 90% of similar roles. Most pay $142,500–$211,200 — the shaded band above. At the midpoint, this role pays about $114k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1240 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 817 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Full Stack Developer, Mid

Role Posting Log in to save

Full Stack Developer, Mid joins a technical delivery team to modernize OPIR research and development by building cloud-native microservices and scalable front-end interfaces. The role involves transforming legacy analytical pipelines into secure architectures to support exploitation, tracking, visualization, and reporting workflows. Daily responsibilities include implementing features using React, Angular, or Vue; developing back-end services in Python, Java, or Node.js; and building API frameworks like FastAPI, RESTful, gRPC, or GraphQL. The developer will manage containerized workloads via Docker and Kubernetes, support AWS or Azure deployments using Terraform or CloudFormation, and contribute to DevSecOps practices through GitLab or GitHub CI/CD pipelines. Technical requirements include experience with SQL or NoSQL databases like PostgreSQL or MongoDB, as well as integration of ML-enabled components into mission workflows. Candidates must possess an active TS/SCI clearance and a STEM degree.

Skills

React Angular Vue Python Java Node.js FastAPI REST gRPC GraphQL Docker Kubernetes AWS Azure Terraform CloudFormation CI/CD GitLab GitHub Jenkins PostgreSQL DynamoDB MongoDB SQLite Kafka Elasticsearch OpenSearch

What you'll do

Implement end-to-end features using front-end frameworks like React and back-end microservices in Python, Java, or Node.js.
Build and integrate API frameworks including FastAPI, RESTful, gRPC, or GraphQL.
Develop and manage scalable services using containerized workloads with Docker and Kubernetes.
Support cloud deployments on AWS or Azure using Infrastructure as Code tools like Terraform or CloudFormation.
Execute DevSecOps practices including automated testing, CI/CD pipelines, and security scanning.
Integrate data, machine learning, and analytical pipeline components into mission workflows.
Troubleshoot full-stack issues and contribute to overall engineering improvements.

What we're looking for

4+ years of experience with full-stack software development.
Experience in a modern object-oriented language.
Experience with front-end frameworks like React, Angular, or Vue, and 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 and willingness to take a polygraph exam.
Bachelor's degree in a STEM field.
Experience with microservices, event-driven architectures, or message queues (preferred).
Experience integrating synthetic data, analytic models, or ML pipelines into applications (preferred).
Experience with Elasticsearch/OpenSearch or distributed search systems (preferred).
Experience with user-centered design or reusable component libraries (preferred).
Experience with AI-augmented development workflows or agentic tools (preferred).
Master's degree in Computer Science, Software Engineering, or related field (preferred).

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