Lead Software Engineer (GenAI & Microservices)

Overview

We are seeking an experienced Lead Software Engineer with deep expertise in Java microservices and Generative AI technologies to support a new strategic initiative at Wells Fargo. This role will lead the design, development, and adoption of GenAI-powered engineering solutions while partnering closely with business and technology teams.

Required Qualifications

16 years of software engineering experience
Strong expertise in Java 17 and Spring Boot microservices
Full-stack development experience using Java, React/Angular, TypeScript, and Python
Experience with distributed systems, APIs, event-driven architecture, and CI/CD pipelines
Cloud platform experience (OCP, GCP, or similar)
Hands-on experience with GenAI tools including:
Devin
Claude (Anthropic)
Cursor or similar AI-assisted development tools
Knowledge of:
Prompt engineering
RAG (Retrieval-Augmented Generation)
Agent-based and multi-agent architectures
MCP (Model Context Protocol)
Autonomous AI workflows and orchestration

Key Responsibilities

Design, develop, and deploy GenAI-powered solutions
Build and enhance Spring Boot microservices
Integrate AI tools into enterprise SDLC and CI/CD workflows
Drive GenAI adoption, onboarding, and best practices
Collaborate with cross-functional teams to improve developer productivity
Provide technical leadership, troubleshooting, and performance optimization

Top Skills

Java 17 & Spring Boot Microservices
GenAI Platforms (Devin, Claude, Cursor)
Agentic AI, RAG, and Enterprise AI Integration