Lead Software Engineer

Wells Fargo Bank•Charlotte, NC

20h•Hybrid

About The Position

The COO Technology group delivers technology solutions for the Chief Operating Office, supporting operations, control executives, strategic execution, business continuity, resiliency, data services, regulatory relations, customer experience, enterprise shared services, supply chain management, and corporate properties. Our mission is to modernize and optimize technology platforms for these critical functions. Within COO Technology, we are seeking a Lead Software Engineer (LSE) to serve as a key technical contributor within the team. This role is responsible for designing, developing, testing, and deploying software solutions, while actively participating in all phases of the Software Development Lifecycle (SDLC), including requirements analysis, solution design, development, testing, and architectural planning. The LSE will leverage modern technologies, including Generative AI and integration tools, to deliver scalable and innovative solutions. Success in this role requires the ability to deliver high-quality solutions aligned with business requirements in a timely manner, without compromising technical excellence. The position demands strong independent execution, as well as close collaboration with business stakeholders and technology partners to ensure alignment with enterprise standards, best practices, and strategic objectives.

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of Python full-stack development, including RESTful API design (FastAPI, Flask, Django), web development frameworks, and front-end integration
3+ years of experience of strong knowledge of Autosys, OpenShift (OCP), and GCP (or equivalent Cloud) environments
3+ years of experience with CI/CD tools and Identity Access Management
1+ years of experience with GenAI stack
Excellent problem-solving and analytical skills
Strong communication and collaboration abilities
Ability to work independently and as part of a team

Nice To Haves

Familiarity with Google AI Development Kit (ADK) or equivalent Microsoft AI frameworks for enterprise-grade GenAI solutions like Autogen, Semantic Kernel
Familiarity with enterprise AI governance and responsible AI frameworks
Experience with Eval frameworks
Experience using LLM-as-a-Judge for scalable assessments.
Expertise in numerical libraries such as NumPy, Pandas, and experience building data-driven applications with robust performance and scalability.
Familiarity with PostgreSQL, ETL processes, and S3 data handling.
Experience with GenAI stack including LangChain, LangGraph, and LangSmith for building agentic workflows, vector databases, React-based agents, multi-agent orchestration systems and Model Context Protocol (MCP)
3+ years of Financial Industry experience

Responsibilities

Lead complex, large-scale technology initiatives, including enterprise-wide efforts with significant impact
Contribute to the development and adoption of engineering standards and enterprise best practices for scalable and robust technology solutions
Design, develop, test, debug, and document software applications and systems
Analyze and evaluate complex technology solutions in support of both tactical and strategic business objectives, considering enterprise architecture and technical constraints
Make informed technical decisions by applying industry best practices and emerging technologies, while guiding teams to deliver results and drive innovation
Collaborate with senior technologists, subject matter experts, and external partners to resolve complex technical challenges and achieve desired outcomes
Lead projects and teams, and provide mentorship to peers and junior engineers
Apply both manual and automated evaluation techniques to ensure comprehensive and high-quality solution delivery