{"id":3801383,"url":"https://alion.io/job/wells-fargo-lead-software-engineer-java-ai","title":"Lead Software Engineer - Java & AI","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":205,"ghost_share":0,"stale_share":0.034,"repost_share":0.005,"time_to_fill_p50_days":17,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Devin","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Gradle","optional":false},{"name":"JavaScript","optional":false},{"name":"JUnit","optional":false},{"name":"Kanban","optional":false},{"name":"Kubernetes","optional":false},{"name":"Maven","optional":false},{"name":"Mockito","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenShift","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Selenium","optional":false},{"name":"SonarQube","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring MVC","optional":false},{"name":"Spring Security","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Java","optional":true},{"name":"Kotlin","optional":true}],"status":"live","first_seen_at":"2026-11-05T11:37:25Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T03:50:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About this role:\nWells Fargo is seeking a Lead Software Engineer with strong hands-on experience in Java full-stack development, Spring Boot, microservices, APIs, modern UI technologies, and AI-enabled software engineering.\nThe role will provide hands-on technical leadership across application design, development, testing, deployment, and production support. The engineer will also help drive adoption of Generative AI and AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Devin AI, and other emerging engineering tools to improve developer productivity and software quality.\nIn this role, you will:\nLead complex technology initiatives including those that are companywide with broad impact\nAct as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines\nDesign, code, test, debug, and document for projects and programs\nReview and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors\nMake decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives\nCollaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals\nLead projects, teams, or serve as a peer mentor\nRequired Qualifications:\n5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\nDesired Qualifications:\nTechnical Leadership: Lead the design and development of complex enterprise applications using Java, Spring Boot, microservices, REST APIs, and modern web technologies.\nDesign scalable, secure, highly available, and maintainable application architectures.\nProvide hands-on technical leadership throughout the software development lifecycle, including design, coding, testing, deployment, troubleshooting, and production support.\nDevelop reusable services, APIs, frameworks, and application components that improve engineering productivity and consistency.\nBuild modern user experiences using technologies such as React, Angular, JavaScript/TypeScript, HTML and CSS.\nDesign and develop RESTful APIs, microservices and event-driven applications using technologies such as Spring Boot and Kafka.\nApply appropriate software design patterns, domain-driven design principles, API standards, and engineering best practices.\nConduct code reviews, design reviews and technical walkthroughs, identifying opportunities to improve performance, maintainability, security and code quality.\nTroubleshoot complex application, integration, performance and production issues and drive them to resolution.\nChampion automated testing, CI/CD, DevSecOps and engineering automation across the software development lifecycle.\nWork with relational and NoSQL databases and develop efficient data-access and integration patterns.\nCollaborate with Product, Architecture, Information Security, Infrastructure and other engineering teams to translate business requirements into technical solutions.\nEvaluate emerging technologies through technical assessments, prototypes and proof-of-concepts.\nAI & Modern Software Engineering: Apply Generative AI and AI-assisted development techniques across the software engineering lifecycle.\nUse AI coding assistants such as GitHub Copilot, Microsoft Copilot, Devin AI, and similar tools to improve developer productivity while following enterprise security, privacy and software engineering standards.\nIdentify opportunities to use AI for code generation, code understanding, unit testing, documentation, refactoring, debugging and developer productivity.\nDesign and develop applications that integrate with Large Language Models (LLMs) and Generative AI capabilities.\nDevelop practical understanding of prompt engineering, RAG, vector databases, embeddings, AI agents, MCP servers and Agent-to-Agent (A2A) concepts.\nBuild or contribute to AI-powered applications and intelligent workflows using enterprise-approved AI platforms and APIs.\nEvaluate AI-generated code for correctness, security, performance, maintainability and compliance rather than relying on AI-generated output without engineering review.\nExplore emerging agentic software engineering approaches and automation opportunities that can accelerate application development, testing and maintenance.\nHelp establish engineering practices for the responsible and secure adoption of AI-assisted development tools.\nEngineering Leadership: Serve as a technical lead and hands-on engineer, providing technical direction to software engineering teams.\nMentor Software Engineers and Senior Software Engineers on Java, Spring Boot, application architecture, design patterns and modern engineering practices.\nProvide guidance on complex design, coding and troubleshooting challenges.\nDrive engineering excellence through clean code, automated testing, reusable components, automation and continuous improvement.\nFacilitate design reviews, code reviews, technical discussions and knowledge-sharing sessions.\nEncourage engineers to experiment with and responsibly adopt new AI and developer productivity tools.\nPartner with Product Owners and other stakeholders to understand requirements, identify technical dependencies and support delivery planning.\nProvide technical estimates and identify engineering risks, dependencies and implementation options.\nDemonstrate ownership beyond individual assignments and help the broader engineering team achieve technology and business outcomes.\nJob Expectations:\nBachelor's degree in engineering, Computer Science or equivalent practical experience.\nStrong hands-on software engineering experience developing enterprise-scale applications.\nStrong hands-on development experience with Java and Spring Boot.\nExperience designing and developing microservices and REST APIs.\nExperience with Spring ecosystem technologies, including Spring Boot, Spring MVC, Spring Data and Spring Security.\nExperience with front-end technologies such as React or Angular, JavaScript/TypeScript, HTML and CSS.\nStrong understanding of object-oriented programming, design patterns, data structures and software engineering principles.\nExperience applying AI/GenAI capabilities to real-world software engineering or business use cases.\nExperience with relational databases such as Oracle, PostgreSQL or SQL Server, along with strong SQL skills.\nExperience with distributed technologies and messaging platforms such as Kafka.\nExperience with automated testing frameworks including JUnit, Mockito, Selenium or comparable technologies.\nStrong understanding of CI/CD, Git, Maven/Gradle, SonarQube and artifact management.\nExperience with containerized application platforms such as Kubernetes or OpenShift/OCP.\nWorking knowledge of public cloud platforms such as GCP or Azure, particularly for deploying and operating modern applications.\nUnderstanding of Generative AI, Large Language Models and AI-assisted software engineering.\nExperience using or evaluating AI coding assistants and developer productivity tools.\nAbility to perform code reviews, solution design reviews, debugging and troubleshooting of complex enterprise applications.\nStrong verbal, written and interpersonal communication skills.\nAbility to work effectively in an Agile environment using Scrum or Kanban.\nDemonstrated ability to mentor engineers and provide technical leadership without requiring direct people-management responsibility.\nPosting End Date:\n18 Nov 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.\nEmployees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.\nCandidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.\nc. 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