Lead Software Engineer (Full Stack)

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles. Essential Responsibilities: • Lead the design, development, and delivery of scalable, secure, cloud-native enterprise applications supporting critical business functions. • Architect and implement microservices, APIs, event-driven systems, and distributed applications with a focus on performance, resiliency, and high availability. • Develop modern, responsive user experiences using React, TypeScript, JavaScript, HTML5, and CSS3 . • Build and maintain backend services using Java, Spring Boot, Kafka, and containerized architectures . • Partner with Product, UX, Architecture, and Engineering teams to translate business requirements into technical solutions. • Drive engineering excellence through architecture reviews, code quality standards, automated testing, CI/CD, and DevOps best practices . • Mentor software engineers, provide technical leadership, and influence architectural decisions across delivery teams. • Evaluate and implement emerging technologies including Generative AI, Large Language Models (LLMs), RAG, Agentic AI, and enterprise AI platforms . Basic Qualifications - Bachelor’s degree, or equivalent work experience - Six to eight years of relevant experience Preferred Skills/Experience • Expertise in Distributed Systems, Microservices Architecture, RESTful APIs, and Service-Oriented Architecture (SOA) with experience building scalable, high-throughput applications. • Strong proficiency in Java, Spring Boot, React.js, TypeScript, JavaScript (ES6+), HTML5, and CSS3 . • Experience developing cloud-native applications on Azure and/or AWS , including containerized deployments. • Hands-on expertise with Kafka, Kubernetes, Rancher, Istio, Apigee, Jenkins/CloudBees, GitLab, and CI/CD pipelines . • Strong understanding of software design patterns, application architecture, resiliency, security, observability, monitoring, and reliability engineering . • Experience implementing automated testing frameworks including Jest, React Testing Library, Cypress, and Playwright . • Knowledge of AI/ML application development , including Generative AI, LLMs, RAG, Agentic AI, LangChain, LangGraph, Semantic Kernel, MCP, Azure OpenAI, OpenAI, Anthropic, or Gemini . • Proven ability to lead complex initiatives in Agile and DevOps environments , influence technical direction, and collaborate effectively with cross-functional stakeholders. Location expectations   This role requires working from a U.S. Bank location three (3) or more days per week. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our  disability accommodations for applicants . Benefits:   Our approach to benefits and total rewards considers