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Wells Fargo Logo Wells Fargo · IT - Software Development

Software Engineering Senior Manager - IDOCS Engineering & Delivery

United States, CHARLOTTE · Job Posted May 31, 2026
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Job Description

Wells Fargo is seeking a Software Engineering Senior Manager to lead product management and delivery for Intelligent Document Services (IDOCS) within Enterprise Content Management (ECM). IDOCS is a mission-critical, high-scale production platform, managing over 50 billion documents and acting as a trusted AI system. This role is pivotal in shaping the product direction, driving the full ownership of release tracking, and overseeing the development progress of IDOCS new capabilities, ensuring alignment with the platform's strategic roadmap and commitments. You will be responsible for translating business and enterprise priorities into actionable technical roadmaps, ensuring predictable and high-quality delivery of AI-enabled solutions, and fostering a culture of engineering excellence and responsible innovation in a highly regulated financial environment.

Job Responsibility

  • Lead database and platform engineering teams supporting enterprise-scale digital banking applications
  • Set and continuously evolve a customer-anchored, insight-driven product vision for the IDOCS suite across its core capabilities, including classification, extraction, and data pipelines
  • Translate enterprise and line of business priorities into clear portfolio strategies, actionable roadmaps, and outcome-based milestones for IDOCS, focusing on measurable outcomes rather than just feature delivery
  • Drive predictable, high-quality delivery using Agile and DevOps practices, balancing feature delivery with platform health, technical debt reduction, and operational stability for IDOCS solutions
  • Take full ownership of release tracking and development progress for IDOCS, ensuring timely and successful deployment of new capabilities and features
  • Manage, coach, and develop a team or teams of engineering managers and experienced engineers responsible for building high-quality capabilities with modern technology within the IDOCS domain
  • Oversee the software craftsmanship, security, availability, resilience, and scalability of IDOCS solutions, while guiding the adoption of modern engineering practices like DevSecOps and CI/CD
  • Ensure adherence to the Banking Platform Architecture and meeting non-functional requirements with each IDOCS release
  • Partner with Product, Architecture, Security, and Operations to accelerate digital transformation and embed AI-enabled engineering practices into IDOCS
  • Drive adoption of AI tools, developer copilots, agents, and automation to improve productivity and quality within IDOCS development and operations
  • Enable responsible use of AI across design, development, testing, and operations for IDOCS capabilities
  • Ensure IDOCS solutions meet banking regulatory, security, data protection, and audit requirements, embedding controls, observability, and automation to reduce operational risk
  • Proactively manage risks, dependencies, and cross-team coordination related to IDOCS delivery
  • Function as the technical representative for IDOCS product during cross-team collaborative efforts and planning
  • Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment, and guide design, as needed
  • Collaborate with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, and promote innovative solutions for IDOCS
  • Foster a culture of ownership, continuous improvement, and engineering rigor within the IDOCS teams

Requirements

  • 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of management or leadership experience
  • 5+ years’ experience with Java-based backend applications
  • 2+ years of experience designing and delivering AI-enabled products or platforms at an enterprise scale, with a strong understanding of AI/ML concepts and their application in real-world scenarios

Nice to have

  • Strong technical experience with MongoDB, and other database technologies
  • 3+ years’ experience leading database and platform teams in large-scale, regulated environments
  • Deep understanding and knowledge of scalability, performance tuning, data consistency, and resilience for large-scale distributed systems
  • Proven ability to communicate complex technical strategies to executive and senior stakeholders and drive large-scale initiatives in a highly regulated environment
  • Strong hands-on expertise in Java ecosystem (Spring Boot, REST APIs, microservices, concurrency, performance tuning)
  • Proven experience architecting and building AI-powered solutions, including LLM integration, prompt engineering, RAG patterns, model orchestration, and AI pipelines
  • Hands-on experience with Vector Databases and their application in knowledge representation and retrieval
  • Experience with event-driven architectures (Kafka or similar)
  • Strong background in cloud-native architectures (containerization, orchestration, CI/CD, DevSecOps) with experience operating systems at enterprise scale
  • Experience with OpenShift Container Platform and/or Google Cloud Platform, and/or Microsoft Azure hands-on experience
  • Experience using ReactJS
  • Deep understanding of LLMs, prompt engineering, vector databases, and orchestration tools
  • Experience applying AI, automation, or advanced analytics within digital products or sales enablement solutions
  • Familiarity with responsible AI principles, governance, and operating within regulated environments, including Model Risk Management (MRM) processes and controls
  • Experience defining product strategy, influencing senior stakeholders, and leading through ambiguity
  • Strong analytical skills with high attention to detail and accuracy
  • Excellent communication and stakeholder management skills, with the ability to articulate complex technical concepts to executives, regulators, partners, and engineering teams
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