Lead Information Security Engineer

6w1 month ago

Wells Fargo

Charlotte, US · Full-time · $130,000 – $160,000

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. This role operates at the intersection of cybersecurity, large-scale data engineering, cloud architecture, and advanced analytics.

Day-to-day, the engineer designs and engineers secure, scalable cyber data and analytics platforms supporting vulnerability management, threat detection, and cyber intelligence. They lead architecture and engineering efforts across AWS, Azure, and GCP, ensuring sound data modeling, governance, and platform reliability.

This team is responsible for building and advancing the Cyber Threat Intelligence Platform (CTIP), enabling scalable cyber analytics, operational intelligence, and AI-driven security use cases. The role partners closely with cybersecurity architecture, platform engineering, and data science teams to deliver production-ready solutions.

Opportunities include leveraging AI-assisted development tools like GitHub Copilot to accelerate system design, coding, and troubleshooting. This role offers a chance to modernize enterprise cyber operations and drive innovation in cyber defense.

Requirements

5+ years of Information Security Engineering experience
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
Experience designing and engineering cloud-based data and analytics platforms on AWS, Azure, and GCP
Strong understanding of data modeling, governance, and secure data handling practices
Proficiency in using AI-assisted development tools and applying AI responsibly in security environments
Experience with threat intelligence platforms, vulnerability management, or cyber defense systems

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
Partner with cybersecurity, analytics, UX, and engineering teams to translate security and business requirements into production‑ready solutions
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 leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting