Lead Software Engineer

Wells Fargo & Company•Columbus, OH

23h

About The Position

Wells Fargo is looking for a Lead Software Engineer to architect, design and development Agentic AI-driven solutions integrated with Spring Boot microservices within the Enterprise Product and Pricing (EPPM) product domain. This role requires an extensive technical solutions engineer who can design/create scalable systems, mentor engineers, and drive innovation in AI orchestration and enterprise-grade microservices. The ideal candidate will have expertise in designing microservices and working with modern technologies such as MongoDB, Kafka, and Container-based platforms (e.g., Docker, Kubernetes). This role requires deep technical expertise, leadership skills, and the ability to collaborate effectively across teams. Learn more about the career areas and business divisions at wellsfargojobs.com.

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 Software Engineering experience, with a strong focus on Java development
5+ years developing microservices and working with MongoDB and Kafka
3+ years hands-on experience with container-based technologies such as Docker and Kubernetes
3+ years of software development lifecycle (SDLC) and Agile methodologies

Nice To Haves

5+ years API Microservices development and delivery experience on internal or external cloud platforms
5+ years of engineering experience in leading/coding/managing Core Banking applications
3+ years designing and developing GenAI-powered applications using LLMs (OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, etc.)
3+ years of Test Automation development experience
Familiarity with AI governance, model risk management, compliance constraints, and responsible AI practices
Ability to troubleshoot analyze performance bottlenecks
Experience with one or more Observability/Monitoring tools: Elastic, Kibana, Grafana, AppDynamics, New Relic, DataDog, Splunk, TrueSight
Strong organizational, multi-tasking, and prioritizing skills
Ability to work effectively, as well as independently, in a fast-paced team environment (including onshore and offshore)
Experience designing large language models (LLM) prompt engineering, prompt chaining, and evaluation frameworks
Excellent verbal, written, and interpersonal communication skills

Responsibilities

Lead and deliver complex initiatives and deliverables within technical domain of environments
Translate technology experience into technical engineering solutions
Contribute to large-scale planning and strategy development for technology solutions
Design, code, test, debug, and document projects and programs, including upgrades and deployments
Review and address moderately complex technical challenges requiring in-depth evaluation of technologies and procedures
Resolve technical issues and lead a team to meet client needs, leveraging a solid understanding of functions, policies, procedures, and compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve project goals
Act as an escalation point, providing guidance and direction to less experienced staff
Lead projects and ensure successful delivery of technical solutions