Lead Information Security Engineer

About the 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.

Responsibilities

• Design and engineer secure, scalable cyber data and analytics platforms that support vulnerability management, threat detection, cyber intelligence, operational resilience, exposure management and security decisioning
• 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
• 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
• 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
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards

Requirements

• 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)

Benefits

• 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