Software Engineer With Gen AI - only w2

Required Qualifications Generative AI & Development Practices Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC, including 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 and/or Claude Code is expected Uses AI assistance for common development 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 engineering workflows (not limited to writing new code) Demonstrates practical familiarity with GenAI tools within IDE and CLI-based 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 specifications 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 a related technical field, or equivalent practical experience Experience 7+ years of professional software engineering experience 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 with cloud deployment in a CI/CD model 2+ years of experience with Pivotal Cloud Foundry (PCF), AWS, or Google Cloud Platform 2+ years of experience working with databases such as MongoDB, Aerospike, and/or PostgreSQL 2+ years of prior experience in IT transformation and system modernization initiatives, transitioning from legacy platforms to distributed systems (e.g., Mainframe

COBOL/DB2

to Java/SQL or MongoDB-based applications) Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM) Domain & Collaboration Understanding of broker-dealer capabilities and operations Excellent communication skills with a proven ability to communicate clearly and lead other engineers in a collaborative environment Collaborative mindset with a strong bias for action, enabling effective engagement with developers, architects, and adjacent teams