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# Lead Software Engineer (Full Stack)

- **Company:** U.S. Bank
- **Location:** Brookfield, WI, United States
- **Experience:** Expert
- **Salary:** $126,820.0 - $149,200.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Applications Architecture, HTML5, Automation of Tests, Microsoft Azure, Cascading Style Sheets (CSS), Software Quality, Continuous Integration, Software Design Patterns, DevOps, Distributed Systems, Reliability Engineering, OpenAI, Service-Oriented Architecture, Software Engineering, TypeScript, Cloudbees, Enterprise Software Applications, Spring Cloud, LangChain, ReactJS, Istio, Retrieval-Augmented Generation, Large Language Models, Spring-boot, Cypress (Programming Language), Generative AI, Apigee, Agentic-AI, Gitlab, Event Driven Architecture, AI Platforms, Kubernetes, Playwright, Rancher, Apache Kafka, React Testing Library, Google Gemini, Restful APIs, Es2015, Semantic Kernel, Jenkins, Microservices
- **Published:** November 6, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3499592820&tx=JT989THZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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) withexperiencebuildingscalable,high-throughputapplications.
 * Strongproficiencyin Java, Spring Boot, React.js, TypeScript, JavaScript (ES6+), HTML5, and CSS3 .
 * Experiencedeveloping cloud-native applications on Azure and/or AWS ,includingcontainerizeddeployments.
 * Hands-onexpertisewith 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 .
 * Experienceimplementing automated testing frameworks including Jest, React Testing Library, Cypress, and Playwright .
 * Knowledgeof AI/ML application development ,including Generative AI, LLMs, RAG, Agentic AI, LangChain, LangGraph, Semantic Kernel, MCP, Azure OpenAI, OpenAI, Anthropic, or Gemini .
 * Provenabilitytoleadcomplexinitiativesin Agile and DevOps environments ,influencetechnicaldirection,andcollaborateeffectivelywithcross-functionalstakeholders.

## 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., * Leadthedesign,development,anddeliveryof scalable, secure, cloud-native enterprise applications supportingcriticalbusinessfunctions.

 * Architectandimplement microservices, APIs, event-driven systems, and distributed applications withafocusonperformance,resiliency,andhighavailability.
 * Developmodern,responsiveuserexperiencesusing React, TypeScript, JavaScript, HTML5, and CSS3 .
 * Buildandmaintainbackendservicesusing Java, Spring Boot, Kafka, and containerized architectures .
 * Partnerwith Product, UX, Architecture, and Engineering teams totranslatebusinessrequirementsintotechnicalsolutions.
 * Driveengineeringexcellencethrough architecture reviews, code quality standards, automated testing, CI/CD, and DevOps best practices .
 * Mentorsoftwareengineers,providetechnicalleadership,andinfluencearchitecturaldecisionsacrossdeliveryteams.
 * Evaluateandimplementemergingtechnologiesincluding Generative AI, Large Language Models (LLMs), RAG, Agentic AI, and enterprise AI platforms .