Job
Description
Wells Fargo is seeking a Senior Information Security Engineer. In this role, you will: 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 Required Qualifications: 4+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 4+ years of demonstrated information security applications and systems experience 4+ years of demonstrated experience leveraging security technologies such as SIEM for security incident analysis 2+ years of demonstrated experience with at least one scripting language (preferably JavaScript and its frameworks / Python) working on automation and engineering projects Proficiency in detection engineering developing and maintaining effective detection rules and correlation logic. Correlation searches, rules, alerts. Behavioral detections (e.g., brute-force, privilege escalation). Anomaly detections (e.g., unusual logon patterns, entropy-based detections). Hands-on experience with parsing configurations (props, transforms, regex, normalization techniques). Expertise in log source onboarding , source categorization, and enrichment. Strong understanding of security event types (firewall, endpoint, identity, cloud, SaaS logs). Familiarity with common attack vectors (credential abuse, privilege escalation, lateral movement). Knowledge of threat detection frameworks like MITRE ATT&CK, NIST, CIS . Ability to work with threat intelligence feeds to build contextual detections. Experience with log analysis , anomaly detection , and statistical detection methods. Proficient in developing content for SIEMs such as Splunk, Sentinel, QRadar, ArcSight, Elastic, etc. Optimize search performance and false positive tuning of existing detection rules. Maintain deployment workflows for apps, configurations, and detection packages across the SIEM infrastructure. Work with security analytics teams to develop data models or normalized schemas (CIM or equivalent). Job Expectations: Knowledge and understanding of banking or financial services industry Should possess understanding of security and threat landscape relevant to cloud technologies Excellent verbal, written, and interpersonal communication skills Strong ability to identify anomalous behavior on endpoint devices and/or network communications Advanced problem solving skills, ability to develop effective long-term solutions to complex problems Relevant certifications such as Splunk Certified Admin, Splunk Enterprise Security Certified Admin.
