Lead Software Engineer
Wells Fargo1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead complex, broad-impact technology initiatives and contribute to companywide engineering standards and best practices.
- Design, code, test, debug, document, and maintain large-scale technology solutions.
- Design and maintain Java 17+ Spring Boot microservices using Clean Architecture and Domain-Driven Design principles.
- Implement and optimize RESTful APIs while meeting enterprise SDLC, security, and data governance standards.
- Design and implement agentic AI platforms, RAG solutions, orchestration frameworks, and multi-agent systems.
- Apply event-driven architecture, Kafka, streaming platforms, asynchronous integration patterns, and cloud-native deployment architectures.
- Serve as the technical authority for assigned products and platforms and drive architecture governance, code quality, and operational best practices.
- Lead projects and teams, mentor senior and junior engineers, and contribute to enterprise architecture and strategic AI engineering decisions.
Requirements
- At least 5 years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
- Experience with Java 17+, Spring Boot, microservices, Clean Architecture, Domain-Driven Design, and RESTful APIs.
- Experience designing and implementing agentic AI platforms, RAG solutions, orchestration frameworks, and multi-agent systems.
- Experience with multi-model LLM strategies including Gemini, Claude, OpenAI, and proprietary enterprise models.
- Experience with event-driven architecture, Kafka, streaming platforms, asynchronous integration patterns, cloud-native platforms, and modern application deployment architectures.
- Experience using or integrating AI-assisted development tools such as GitHub Copilot, Devin, Cursor, or similar platforms.
- Experience in the mortgage domain, including origination, underwriting, servicing, document processing, or default management.
- Understanding of AI model governance, explainability, validation, security, risk management, observability, production monitoring, resiliency engineering, platform reliability, workflow automation, intelligent document processing, decision engines, and AI-driven business process optimization.
- Prior experience leading cross-functional engineering teams and contributing to enterprise architecture initiatives.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.