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 wellsfrakjobs.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.
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.
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)