> Markdown version of [/jobs/ext/3758979-software-engineer-1-full-stack-generative-ai-cloud](https://www.wearedevelopers.com/jobs/ext/3758979-software-engineer-1-full-stack-generative-ai-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer 1 - Full-stack, Generative AI, Cloud - **Company:** U.S. Bank, National Association - **Location:** Hopkins, MN, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Software Design Patterns, DevOps, Programming Tools, Github, HP Systems Insight Manager, NoSQL, Object-Oriented Software Development, Systems Development Life Cycle, OpenAI, Standard Sql, Secure Coding, Software Engineering, SQL Databases, TypeScript, Enterprise Search, Google Cloud, Spring Cloud, GitHub Copilot, ReactJS, Large Language Models, Prompt Engineering, Spring-boot, Software Application Programming, Generative AI, Agentic-AI, Git, Containerization, AI Platforms, Kubernetes, Restful APIs, Data Pipelines, Devsecops, Docker, Microservices - **Published:** October 15, 2026 - **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Hopkins-MN/Software-Engineer-1---Full-stack--Generative-AI--Cloud_2026-0032031 ## About the Role Bachelor's degree, or equivalent work experience - Two to three years of relevant experience, * Experience developing applications using Java, Spring Boot, React, TypeScript, and RESTful APIs. * Knowledge of SQL and/or NoSQL databases with the ability to design and interact with scalable data solutions. * Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP). * Understanding of object-oriented programming, software design patterns, and modern software engineering principles. * Exposure to Generative AI technologies, including LLMs, prompt engineering, AI agents, and Retrieval-Augmented Generation (RAG). * Experience using development tools such as Git, GitHub, GitHub Copilot, CI/CD pipelines, and automated testing frameworks. * Knowledge of cloud-native architectures, containerization, Docker, Kubernetes, and microservices-based application development. * Strong analytical, problem-solving, communication, and collaboration skills with a passion for learning emerging technologies and delivering customer-focused solutions. Technologies Used: Java | SpringBoot | React | TypeScript | REST APIs | GitHub | GitHub Copilot | Azure | AI Services | Azure OpenAI | Azure AI Search | AWS Bedrock | SQL/NoSQL Databases | Docker | Kubernetes | CI/CD Pipelines. ## 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., * Design, develop, test, and maintain modern software applications using Java, Spring Boot, React, and TypeScript. * Build and integrate AI-powered capabilities, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent AI agents into business solutions. * Develop and support REST APIs, microservices, and cloud-native applications following engineering best practices. * Collaborate with product owners, architects, and cross-functional teams to translate business requirements into scalable technical solutions. * Participate in all phases of the Software Development Lifecycle (SDLC), including design, coding, testing, deployment, and production support. * Contribute to AI experimentation, proof-of-concepts, and production implementations that drive business value and innovation. * Implement secure coding standards and comply with enterprise risk, security, compliance, and AI governance requirements. * Support CI/CD pipelines, DevSecOps practices, automated testing, application monitoring, and cloud operations to ensure reliable software delivery.