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Wells Fargo Logo Wells Fargo · IT - Software Development

Lead Software Engineer (IAM) - Java Full Stack

India, Bengaluru · Job Posted June 03, 2026
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Job Description

Wells Fargo is seeking a Lead Software Engineer.

Job Responsibility

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review 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
  • Make 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
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor
  • Architect and deliver a next-gen identity platform for AI agents and workloads
  • Build secure microservices-based IAM/IGA capabilities at enterprise scale
  • Establish guardrails for AI systems, ensuring: Compliance, auditability, and risk mitigation
  • Enable intelligent, automated identity decisions using AI/ML
  • Drive continuous modernization of identity architecture and engineering practices

Requirements

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Microservices Engineering & Distributed Systems:- Solution and build cloud-native, microservices-based IAM platforms
  • Expertise in: Spring Boot / Java / Node.js / .NET microservices frameworks
  • RESTful APIs, GraphQL, gRPC-based service communication
  • Deep experience with Azure / AWS / GCP (GCP preferred)
  • Strong experience designing: Service-to-service authentication and authorization
  • API gateway patterns (Apigee, Kong, Azure APIM, etc.)
  • Event-driven architectures (Kafka, Pulsar, RabbitMQ)
  • Design for high scalability, resiliency, and fault tolerance
  • Circuit breakers, retries, distributed tracing, observability
  • Experience with containerization and orchestration (Docker, Kubernetes, service mesh like Istio/Linkerd)
  • Lead end-to-end Architecture, design, development, testing, deployment, and support
  • Build highly secure and maintainable systems with: Advanced code quality practices, SAST/DAST, threat modelling
  • Define and implement-CI/CD pipelines, automation frameworks, and release governance
  • Provide technical leadership across IAM, security, and platform teams
  • AI Agent Identity & Guardrails Engineering: Design and implement Agent Identity Frameworks: Unique identity, credentialing, and authentication for AI agents using SPIFFE standard.
  • Lifecycle controls (creation, delegation, revocation)
  • Build AI Guardrails and Governance layers: Policy-based access control for AI decisioning
  • Context-aware authorization and dynamic policy evaluation
  • AI activity auditability, traceability, and explainability
  • Implement: Authorization policies for autonomous agents interacting with APIs and enterprise systems
  • Risk-based access controls and anomaly detection signals
  • Integrate identity with AI platforms / LLM ecosystems
  • Secure plugin/tool access
  • Controlled execution environments
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