Staff Full-Stack Engineer

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Staff Full-Stack Engineer is a senior technical leader responsible for architecting, building, and scaling enterprise-grade AI, automation, and full-stack solutions across Finance. This role partners closely with Finance, Product, IT, Data, Architecture, and Engineering teams to translate complex business problems into secure, scalable, production-ready solutions spanning applications, APIs, enterprise integrations, AI agents, intelligent automation, and cloud platforms . The ideal candidate combines deep full-stack software engineering expertise with strong capabilities in Generative AI, agentic AI, automation, and enterprise architecture . They will help shape the future of Finance technology by building reusable AI and automation capabilities, modernizing traditional automation toward API-first and agentic architectures , and establishing strong engineering practices across security, Responsible AI, testing, CI/CD, observability, reliability, and governance. Key Responsibilities • Lead the architecture, design, development, and delivery of enterprise-grade AI, automation, and full-stack solutions across Finance • Build production applications end to end across user experience, APIs, backend services, data, AI/agents, automation, enterprise integrations, and cloud infrastructure • Design and implement Generative AI and agentic AI solutions , including RAG, tool/function calling, AI agents, workflow orchestration, and human-in-the-loop experiences • Build scalable full-stack applications using Angular/React, TypeScript, Python/FastAPI, Java/Spring Boot, APIs, microservices, and modern data platforms • Modernize traditional automation toward API-first, event-driven, AI-enabled, and agentic architectures • Translate complex Finance requirements into secure, scalable, reusable technical solutions across Order to Cash, Source to Pay, Record to Report, and other Finance processes • Integrate solutions across SAP, enterprise data platforms, Microsoft/Azure AI, UiPath, ServiceNow, and other Finance technologies • Establish reusable AI agents, automation components, APIs, services, frameworks, and engineering patterns that accelerate delivery across Finance • Own engineering quality through CI/CD, automated testing, observability, performance optimization, security, scalability, and production reliability • Apply Responsible AI, Zero Trust, data protection, auditability, and enterprise governance throughout the solution lifecycle • Lead technical design and code reviews, mentor engineers, establish engineering standards, and raise the technical bar across the team • Act as a technical advisor to Finance, Product, AI/Automation, Architecture, and IT teams , challenging unnecessary complexity and driving sustainable technical decisions Qualifications Minimum Qualifications • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or related field with 8+ years of relevant software engineering experience , OR Master’s degree with 6+ years of relevant experience • Strong hands-on expertise in Python and modern JavaScript/TypeScript , including Angular/React and modern backend frameworks • Proven experience designing and delivering production-grade APIs, microservices, distributed applications, and enterprise integrations • Hands-on experience with Generative AI, LLM integration, RAG, prompt engineering, tool/function calling, and agentic AI application development • Strong experience with SQL, data integration, cloud platforms, Docker, Kubernetes/OpenShift, Git, CI/CD, and automated testing • Experience defining and implementing unit, integration, API, and end-to-end testing strategies • Ability to independently lead technical architecture and delivery from ambiguous requirements through production deployment • Proven ability to communicate complex technical concepts clearly to engineering, business, and senior stakeholders Preferred Qualifications • Experience building enterprise AI platforms, reusable AI services, agents, frameworks, SDKs, or developer tooling • Hands-on experience with multi-agent architectures, MCP, enterprise search, AI evaluation, observability, LLMOps/MLOps, and AI guardrails • Experience with Azure AI, Azure AI Foundry, Microsoft Copilot/Copilot Studio, UiPath, Snowflake, SAP, ServiceNow, or Celonis • Experience integrating AI and automation with SAP ECC/S/4HANA and enterprise Finance platforms • Experience modernizing traditional automation toward API-first, cloud-native, AI-enabled, and agentic architectures • Experience with workflow orchestration, intelligent automation, enterprise APIs, and event-driven integration • Experience applying Responsible AI, security, Zero Trust, data privacy, audit logging, and governance within production applications • Strong technical leadership, architecture, mentoring, stakeholder management, and problem-solving skills About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive considerat