Java Fullstack Developer

Hybrid in McLean, VA, US • Posted 1 hour ago • Updated 58 minutes ago
Contract Independent
Contract W2
Hybrid
$60 - $70/hr
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Apache Kafka
  • Apache Maven
  • Application Lifecycle Management
  • Artificial Intelligence
  • Authentication
  • DevOps
  • Docker
  • Evaluation
  • Gradle
  • HTML
  • JIRA
  • JSON
  • JUnit
  • Java
  • Machine Learning (ML)
  • Jenkins
  • Mockito
  • Spring Framework
  • Spring MVC
  • Spring Security
  • RDBMS
  • Python
  • Data Structure
  • Streaming
  • Testing
  • Unit Testing
  • XML
  • XSD
  • RESTful
  • JavaScript
  • Continuous Integration
  • Cascading Style Sheets
  • Concurrent Computing
  • Continuous Delivery
  • Data Analysis
  • Data Modeling
  • Database
  • Microsoft Certified Professional
  • Multithreading
  • SQL

Summary

Need Sr Java Fullstack Developer

McLean VA - Hybrid

Need only local

  • Strong proficiency in Java (8+) and/or Python.
  • Solid understanding of core language concepts such as I/O collections/data structures, and, concurrency/multithreading/asynchronous patterns
  • Strong experience building and consuming RESTful APIs.
  • Experience with backend frameworks such as:
  • Java: Spring Core, Spring MVC, Spring Boot, Spring Security, Spring Data.
  • Python: Flask/FastAPI/Django (or equivalent), ORM usage, authentication/security patterns.
  • Experience with streaming/event technologies such as Kafka preferable.
  • Proficiency with build and test tooling (as applicable): Maven/Gradle, JUnit/Mockito, pytest/unittest; CI-friendly testing practices.

Database & Data Skills

  • Strong database skills with RDBMS (e.g., MS SQL) and data modeling.
  • Ability to write advanced SQL for reporting, troubleshooting, and data analysis.
  • Experience working with structured and semi-structured data formats: XML/XSD and JSON.

DevOps / SDLC / Tooling

  • Working knowledge of Docker in the development process.
  • Understanding of application lifecycle management and SDLC best practices.
  • Experience using CI/CD pipelines and tools such as JIRA and Jenkins to build and deploy applications.

Front-End (Working Knowledge)

  • Basic working knowledge of HTML, JavaScript, and CSS to support integration and troubleshooting.

Preferred / Nice-to-Have (AI / ML)

  • Python exposure for automation and/or AI/ML integration is a plus.
  • Familiarity with AI/ML integration patterns (e.g., calling model endpoints, evaluation, deployment).
  • Exposure to MCP (Model Context Protocol) for AI-enabled integrations/tools is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10115487
  • Position Id: 8962898
  • Posted 1 hour ago
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