Lead Full Stack Information Security Engineer - Counter Threat Operations

About this role: Wells Fargo is seeking a Lead Information Security Engineer in Technology as part of Cybersecurity. Learn more about the career areas and lines of business at wellsfargojobs.com Wells Fargo is seeking a Lead Information Security Engineer on the Counter Threat Operations team within Cybersecurity to help build out the Counter Threat Operations Center (CTOC). The role operates at the intersection of cybersecurity, large-scale data engineering, cloud architecture, modern full-stack application development, and advanced analytics, supporting CTOC. This team is responsible for building multiple dashboards in CTOC to provide visibility across all the cybersecurity domains in the enterprise. The engineer will lead architecture and engineering efforts for the CTOC build-out, while ensuring sound data modeling, governance, platform reliability, and secure handling of sensitive cyber telemetry. The role partners closely with cybersecurity architecture, platform engineering, and data science teams to translate security and business requirements into reliable, production-ready solutions. In this role, you will: Serve as the technical owner for assigned applications, leading application onboarding, operational support, lifecycle management, and continuous improvement efforts. Design, build, and operate secure, scalable cloud-based data and software platforms that support Cyber Threat Operations analytics, dashboards, automation, and decision-making. Develop and maintain Python-based backend services, APIs, and data pipelines that enable security analytics, automation, AI/ML capabilities, and near real-time processing of large-scale security data. Architect and optimize enterprise data solutions, including data lakes, warehouses, and hybrid cloud environments, with a focus on data modeling, governance, performance, scalability, and secure data handling. Build and manage high-performance data products that ingest, transform, and analyze large volumes of data from diverse sources to support operational and strategic cybersecurity objectives. Deliver high-quality data assets, dashboards, reports, and visual analytics solutions by applying data visualization best practices to ensure insights are accessible, actionable, and aligned with stakeholder needs. Partner with cybersecurity, analytics, UX, engineering, and business teams to translate operational requirements into production-ready applications, analytics products, and dashboard solutions. Apply cloud-native architecture and engineering best practices across AWS, Azure, and GCP to improve reliability, scalability, resilience, security, and cost efficiency. Leverage approved AI-assisted development and analytical tools to accelerate system design, software development, testing, troubleshooting, and operational analysis while ensuring compliance with security, privacy, governance, and ethical standards. Analyze Cyber Threat Operations workflows and application footprints to identify opportunities for optimization, automation, enhanced analytics, and improved operational effectiveness. Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents) Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions Understand and account for model limitations, security risks, and operational considerations Apply AI responsibly in development and production environments Ensure AI usage aligns with security, compliance, privacy, and ethical standards Required Qualifications: 5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. 5+ years of Python experience. 5+ years of JavaScript or TypeScript experience Desired Qualifications: Background