Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Conflict Resolution
Database
Design Optimization
DevOps
Generative Artificial Intelligence (AI)
Google Cloud
Google Cloud Platform
Java
JavaScript
Large Language Models (LLMs)
Machine Learning (ML)
Management
Microsoft Azure
NoSQL
Problem Solving
Prompt Engineering
Python
React.js
Regulatory Compliance
Job Details
Onsite Role
Java Full Stack Developer
Jersey City, NJ
12+ Months Contract
Position Type-W2 Only
Exp Level- 8 Years
Req Skills- Java, Python, cloud platforms (AWS, Azure, Google Cloud), JavaScript/React, large language models (LLMs), prompt engineering, or GenAI, NoSQL databases
Job Responsibilities:
- Design, develop, and deploy AI-powered tools and solutions, and build reusable bny-framework libraries using Java or Python for BNY s platforms.
- Collaborate with product managers, DevEx teams, the Engineering community, and BNY s AI Hub to deliver impactful automation and augmentation capabilities.
- Contribute technical expertise to the development of the Digital Engineer AI companion, maintain and build reusable bny-framework components.
Top Skills:
- Minimum of 8 years hands-on experience in Java or Python development, with a strong portfolio of enterprise-grade applications.
- Significant experience deploying, managing, and scaling applications on major cloud platforms (e.g., AWS, Azure, Google Cloud).
- Full stack engineering background with JavaScript or React is a strong plus.
- Familiarity with large language models (LLMs), prompt engineering, or GenAI-powered developer tools.
- Familiarity with relational and NoSQL databases, including design, optimization, and administration.
- Solid understanding of security best practices, including secure coding, vulnerability remediation, and compliance standards.
- Ability to work collaboratively in cross-functional teams, especially with product managers, engineers, and AI specialists. Experience with modern DevOps practices.
- Strong problem-solving skills and the ability to translate developer pain points into robust technical solutions.
- Solid understanding of AI and machine learning fundamentals, with practical exposure to integrating AI capabilities into production systems.
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.