Lead Java full stack

Lorven Technologies Inc
Arlington, VA, United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Unix Command-Line Interface Collaborative Software Java Platform Enterprise Edition (J2EE) Spring Framework Standard Sql GitHub Copilot ReactJS Git AI Platforms AngularJS
+3 more
Restful APIs Software Version Control Microservices

Requirements

  • Minimum of 7 years of professional experience in Java (Primary) and Angular or React (Secondary)
  • Java/J2EE, Spring framework 8+ years
  • Understanding & design of Microservices
  • Understanding of modern enterprise architectures
  • Understanding of internals of Java Programming
  • Working knowledge of Unix concepts (command line tools)
  • Collect and evaluate user requirements with the help of product managers and engineers
  • Solid understanding of RESTful APIs
  • Working knowledge of SQL/Relational DBs
  • Experience with version control systems (Git) and code collaboration tools.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills
  • Hands on experience on GenAI - GitHub Copilot
  • Good Understanding on Anthropic AI platform

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:03 min

Microsoft integrating native Unix coreutils into Windows environments

Chris Heilmann +2 · LIVE

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

54 sec

Overview of enterprise Java and generative AI

Timo Salm Timo Salm · World Congress 2025

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

2:54 min

Utilizing Java frameworks to interface with AI models

Mary Grygleski Mary Grygleski · LIVE

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