Lead Information Security Engineer

Wells Fargo • Charlotte, NC

20h • Hybrid

About The Position

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. 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.

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

Nice To Haves

• 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).

Responsibilities

• 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

Benefits

• May be considered for a discretionary bonus, Restricted Share Rights, or other long – term incentive awards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior