Lead Information Security 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: Design, build, and operate secure, scalable cloud‑based data and software platforms supporting Information Security and Cyber Defense use cases Develop and maintain Python‑based backend services, data pipelines, and APIs to enable security analytics, automation, and AI/ML adoption Architect data lakes, warehouses, and hybrid data solutions with strong data modeling, governance, and secure data handling practices Apply visualization best practices to ensure insights are accessible, meaningful, and aligned with user and stakeholder needs Partner with cybersecurity, analytics, UX, and engineering teams to translate security and business requirements into production‑ready solutions Provide guidance on cloud data storage and data structure design to support scalable, secure, and high‑performance analytics environments Enable reporting and visual analytics by delivering high‑quality, well‑structured data for modern, interactive applications Apply cloud‑native best practices across AWS, Azure, and GCP to improve reliability, scalability, and cost efficiency Identify and mitigate operational and data risks within Information Security platforms and environments 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 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 data processing frameworks (e.g., Databricks or similar) Ability to assess risk, improve operational resilience, and deliver production‑ready solutions in highly regulated environments Experience with data visualization, dashboards, or UX/UI collaboration, translating complex data into actionable insights Proven ability to translate high-level requirements into technical tasks and execution plans Experience working in cloud environments and supporting migration from on-prem to cloud Proven expertise building secure, scalable cloud‑native solutions across AWS, Azure, and/or Google Cloud Bachelor’s degree or higher in Computer Science, Engineering, Cybersecurity, or a related field (or equivalent practical experience). Locations: 300 S Brevard, Charlotte, North Carolina 28202 401 Las Colinas Blvd W Bldg. A - Irving, TX 75039 3075 Loyalty Circle, Columbus, OH 43219 Job Expectations: This position offers a hybrid work schedule in office 3 days a week Posting Statements: Job posting may come down early due to volume of applicants. Required location(s) listed above. Relocation assistance is not available for this position Salary range is determined by location of the job. May be considered for a discretionary bonus, Restricted Share Rights, or other long – term incentive awards. This position is not eligible for visa sponsorship Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $187,000.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees. Health benefits 401(k) Plan Paid time off Disability benefits Life insurance, critical illness insurance, and accident insurance Parental leave Critical caregiving leave Discounts and savings Commuter benefits Tuition reimbursement Scholarships for dependent children Adoption reimbursement Posting End Date: 23 Jul 2026 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.