Lead Software Engineer

Wells Fargo

Confirmed live yesterday High trust

Closes tomorrow Hybrid

Quick summary

Work type: Hybrid
Location: Raleigh, NCCharlotte, NCChandler, AZIrving, TX
Posted: 3 days ago
Freshness: Confirmed live yesterday
Closes: Sep 20, 2026 (soon)
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $200k

$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $189,350–$211,200.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 39 open roles on FindRole.

Listed pay typically runs $159,000–$239,000 across 20 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer

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Lead Software Engineer joins the Innovation team within Cybersecurity to 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 to modernize enterprise cyber operations. The engineer will design and build secure, scalable cyber data and analytics platforms supporting vulnerability management, threat detection, and operational resilience. Key responsibilities include leading complex technology initiatives, developing companywide standards, and managing projects across Azure and GCP environments. The role requires proficiency in modern programming languages like Python, Java, C/C++, Go, or Rust, alongside experience with Databricks and AI-assisted development tools like GitHub Copilot. The position focuses on the Cyber Threat Intelligence Platform to enable scalable cyber analytics and provide cross-domain visibility while ensuring robust data modeling and governance for sensitive cyber telemetry.

Skills

Python Java Go C++ Rust Azure GCP AWS Databricks SIEM AI ML GenAI Data Engineering Cloud Architecture Cybersecurity Data Modeling

What you'll do

Design and engineer secure, scalable cyber data and analytics platforms for vulnerability management and threat detection.
Lead the architecture and engineering of cyber defense platforms across Azure and GCP cloud environments.
Develop and maintain the Cyber Threat Intelligence Platform (CTIP) to enable scalable cyber analytics.
Translate complex security and business requirements into production-ready technical solutions and execution plans.
Establish company-wide standards and best practices for large-scale technology engineering and data modeling.
Integrate AI-assisted development tools to accelerate system design, coding, testing, and troubleshooting.
Ensure all AI implementations align with corporate security, compliance, privacy, and ethical standards.
Manage the secure handling of sensitive cyber telemetry while ensuring platform reliability and governance.

What we're looking for

5+ years of Software Engineering experience or equivalent through work, training, military experience, or education.
5+ years of experience in a modern programming language such as Python, Java, C/C++, Go, or Rust.
5+ years of data and software engineering with a focus on Information Security, Cyber Defense, or security analytics platforms.
Bachelor’s degree or higher in Computer Science, Engineering, Cybersecurity, or a related field (or equivalent practical experience).
Background in building or supporting security data platforms or analytics solutions (preferred).
Exposure to AI/ML or GenAI use cases, particularly in security or data environments (preferred).
Experience aggregating and correlating data from multiple security tools like SIEM, endpoint, and network (preferred).
Hands-on experience with data lakes, warehouses, cloud environments (AWS, Azure, GCP), and data processing frameworks (preferred).