Senior AI Java Developer - TX
Baanyan Software Services, Inc.
Texas City, TX, United States
30 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$114,396.0 - $156,000.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Agile Methodology
Artificial Intelligence
Amazon Web Services
Automation of Tests
Unit Testing
Cloud Engineering
Cloud Foundry
COBOL (Programming Language)
Code Review
Databases
Continuous Delivery
+28 more
Continuous Integration
IBM DB2
Software Design Documents
Spring Framework
PostgreSQL
Mainframes
Enterprise Messaging Systems
Microsoft Visio
MongoDB
Systems Development Life Cycle
RabbitMQ
Software Deployment
Software Engineering
SQL Databases
Web Services
Aerospike
Test-Driven Development (TDD)
GitHub Copilot
Large Language Models
Prompt Engineering
Information Technology
Atlassian Tools
Apache Kafka
Virtual Agents
Code Restructuring
GPT
Api Management
Microservices
Requirements
- Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC-implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation-while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected.
- Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
- Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
- Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.
- Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
Education: Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience, * 7+ years of professional software engineering experience in actively developing large scale software using: Java, Spring framework, cloud development, and Web Services supporting high volume transactions in a highly available environment.
- 2+ years of hands-on experience with AI/ML implementation and production deployment
- 6+ years of experience working with containers and microservices in the cloud.
- 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD).
- 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
- 2+ years’ experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
- 2+ years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB
- Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)
- Domain Expertise: Understanding of broker-dealer capabilities and operations.
- Communication: Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment
- Execution Focus: Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc., * Master’s degree in Information Technology, Computer Science, related degree, OR related practical experience
- Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent)
- Experience in Financial Services industry
- Experience in Test Driven Development, QA Automation and Quality mindset and behaviors
- Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process
- Willingness to learn all aspects of tech stack and document
- Ability to research and document production and test environments along with architecture and design work
- Knowledge of Agile methodology and experience in an Agile working environment
- Experience with the Atlassian tool stack (JIRA and Confluence)
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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