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Lead Full Stack Information Security Engineer – Counter Threat Operations
Wells FargoLead Information Security Engineer building secure full-stack cyber threat platforms for Wells Fargo, a diversified financial services company. Developing cloud data pipelines, dashboards, APIs, and AI-assisted security analytics.
Posted 8/5/2026full-timeCharlotte • Arizona, North Carolina, Ohio, Texas • 🇺🇸 United StatesSenior💰 $119,000 - $224,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing secure, scalable cloud-based data platforms and applications, with a strong focus on Python and JavaScript development for cybersecurity analytics. Proficient in translating complex requirements into actionable technical solutions while ensuring compliance with security and ethical standards.
Highest-signal resume keywords
Python DevelopmentJavaScript/TypeScript ExperienceCloud-Native ArchitectureData Engineering for Security AnalyticsEnterprise Data Solutions Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaScriptTypeScriptData EngineeringAPIsData LakesData WarehousesCloud PlatformsAI/ML CapabilitiesData Visualization
Soft Skills
CollaborationProblem-SolvingCommunicationTechnical TranslationContinuous Improvement
Tools & Technologies
AWSAzureGCPFastAPIFlaskPandasNumPyPySparkAirflowReact
Industry Keywords
Information Security EngineeringCyber Threat OperationsSecurity AnalyticsComplianceGovernanceEthical StandardsAuthentication PatternsOperational ApplicationsData GovernanceCloud Migration
Tech Stack
Tools & technologiesAirflowAWSAzureCloudCyber SecurityFlaskGoogle Cloud PlatformJavaScriptNumpyPandasPySparkPythonReactTypeScript
About the role
Key responsibilities & impact- Serve as the technical owner for assigned applications, leading application onboarding, operational support, lifecycle management, and continuous improvement
- Design, build, and operate secure, scalable cloud-based data and software platforms supporting Cyber Threat Operations analytics, dashboards, automation, and decision-making
- Develop and maintain Python-based backend services, APIs, and data pipelines for security analytics, automation, AI/ML capabilities, and near real-time processing of large-scale security data
- Architect and optimize enterprise data solutions including data lakes, warehouses, and hybrid cloud environments
- Build and manage high-performance data products ingesting, transforming, and analyzing large volumes of data from diverse sources
- Deliver data assets, dashboards, reports, and visual analytics solutions
- Partner with cybersecurity, analytics, UX, engineering, and business teams to translate requirements into production-ready applications and analytics products
- Apply cloud-native architecture and engineering practices across AWS, Azure, and GCP
- Use approved AI-assisted development and analytical tools for system design, development, testing, troubleshooting, and operational analysis
- Analyze Cyber Threat Operations workflows and application footprints to identify optimization, automation, analytics, and effectiveness improvements
- Validate and integrate AI-assisted outputs while accounting for model limitations, security risks, and operational considerations
- Ensure AI usage aligns with security, compliance, privacy, governance, and ethical standards
Requirements
What you’ll need- 5+ years of Information Security Engineering experience, or equivalent demonstrated through work experience, training, military experience, education
- 5+ years of Python experience
- 5+ years of JavaScript or TypeScript experience
- Experience building or supporting security data platforms, analytics solutions, dashboards, or operational applications
- 5+ years of data and software engineering focused on Information Security, Cyber Defense, or security analytics platforms
- Experience with React, TypeScript/JavaScript, HTML/CSS, REST APIs, and modern frontend build tooling
- Experience with Python backend, data, or analytics libraries and frameworks such as FastAPI, Flask, pandas, NumPy, PySpark, Polars, Airflow, or Dagster
- Experience aggregating and correlating data from multiple security tools
- Hands-on experience designing and managing data lakes, data warehouses, or hybrid data architectures with data modeling and governance practices
- Experience with data visualization, dashboards, or UX/UI collaboration
- Experience with enterprise authentication and authorization patterns including SSO, SAML, OAuth 2.0, OIDC, JWT, RBAC/ABAC, secrets management, and audit logging
- Proven ability to translate high-level requirements into technical tasks and execution plans
- Experience working in cloud environments and supporting migration from on-premises 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 related field, or equivalent practical experience
- Understanding of security, compliance, privacy, governance, and ethical standards for AI use
Benefits
Comp & perks- 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
- Incentive opportunities may be available