Lead Software Engineer

About this role: Wells Fargo is seeking a Lead Information Security Engineer on the Innovation team within Cybersecurity to help drive the evolution of Cyber Defense platforms and intelligence capabilities. Learn more about career areas and business divisions at wellsfargojobs.com The role operates at the intersection of cybersecurity, large-scale data engineering, cloud architecture, and advanced analytics, supporting the modernization of enterprise cyber operations. This team is responsible for building and advancing the Cyber Threat Intelligence Platform (CTIP), enabling scalable cyber analytics, operational intelligence, AI-driven security use cases, and cross-domain visibility across the enterprise. This role focuses on designing and engineering secure, scalable cyber data and analytics platforms that support vulnerability management, threat detection, cyber intelligence, operational resilience, exposure management and security decisioning. The engineer will lead architecture and engineering efforts across Azure and GCP, 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: 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 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 Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in a modern programming language (e.g., Python, Java, C/C++, Go, or Rust) 5+ years of data and software engineering with a strong focus on Information Security, Cyber Defense, or security analytics platforms Desired Qualifications: Background in building or supporting security data platforms or analytics solutions Exposure to AI/ML or GenAI use cases, particularly in security or data environments Experience aggregating and correlating data from multiple security tools (SIEM, endpoint, network, etc.) Hands‑on experience designing and managing data lakes, data warehouses, or hybrid data architectures with sound data modeling and governance practices Experience working with data platforms, databases, and