Senior Information Security Engineer

Wells Fargo•Chandler, AZ

16h

About The Position

Wells Fargo is seeking a Senior Information Security Engineer in Technology as part of Cybersecurity. The ideal candidate will have experience in the identification, development, and prioritization of security events and automated content. This role requires experience in the development lifecycle, identification of logged events to support security use case development, and the ability to research and use critical thinking to understand over-the-horizon detection capabilities through automated alerting. The successful candidate will possess a well-rounded understanding of on-premises servers, network, endpoint, and cloud detections, among other broad technologies. Additionally, the candidate must be able to effectively convey observations and development deliverables to a wide audience. This role also emphasizes the responsible application of AI-assisted development and analysis tools, ensuring alignment with security, compliance, privacy, and ethical standards.

Requirements

4+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
1+ years of Regular Expression (regex) experience
2+ years of SIEM development experience

Nice To Haves

Experience working in a security operations center
Advanced Information Security technical skills and understanding of information security practices and policies
Understanding of Agile practices
Experience working on a Scrum team
Ability to manage complex issues and develop solutions
Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
Knowledge and understanding of data security controls including malware protection, firewalls, intrusion detection systems, content filtering, Internet proxies, encryption controls, and log management solutions
Experience analyzing large data sets
Experience with host and/or network log analysis as applied to incident response / threat hunting
Knowledge of offensive security, with the ability to think like an adversary when hunting and responding to incidents
Strong investigative mindset with an attention to detail
Experience with multiple operating systems to include Windows, Mac OS, and Unix/Linux

Responsibilities

Lead or participate in computer security incident response activities for moderately complex events
Conduct technical investigation of security related incidents and post incident digital forensics to identify causes and recommend future mitigation strategies
Provide security consulting on medium projects for internal clients to ensure conformity with corporate information, security policy, and standards
Design, document, test, maintain, and provide issue resolution recommendations for moderately complex security solutions related to networking, cryptography, cloud, authentication and directory services, email, internet, applications, and endpoint security
Review and correlate security logs
Utilize subject matter knowledge in industry leading security solutions and best practices to implement one or more components of information security such as availability, integrity, confidentiality, risk management, threat identification, modeling, monitoring, incident response, access management, and business continuity
Identify security vulnerabilities and issues, perform risk assessments, and evaluate remediation alternatives
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Create and build content based on identified security use cases
Effectively communicate observations and development deliverables to a wide audience
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