Senior Security Engineer

Intuit - Tucson, AZ

Full-time - Senior

Tucson, AZ

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Senior Security Engineer at Intuit will be a key member of the Security Intelligence and Analytics team, responsible for developing and implementing advanced security measures to identify and neutralize threats in real-time. This role focuses on safeguarding sensitive data through the creation and maintenance of comprehensive security intelligence dashboards and reports, providing real-time visibility into security events and trends.

Responsibilities

• Develop and implement advanced security measures to identify and neutralize threats in real-time.
• Create and maintain comprehensive security intelligence and analytics dashboards and reports.
• Utilize advanced analytics and machine learning techniques to monitor systems and detect anomalous behavior.
• Leverage security intelligence platforms to detect and investigate potential threats in real-time.
• Develop and implement threat detection rules, models, and signatures for emerging threats.
• Perform in-depth analysis of security events and incidents to determine root cause and remediation strategies.
• Collaborate with cross-functional teams to respond to and resolve security incidents.
• Ensure compliance with internal security standards and external regulations.
• Contribute to the enhancement of security intelligence and analytics capabilities.
• Stay updated on emerging threats, vulnerabilities, and attack techniques.

Requirements

• Extensive experience with SIEM platforms (e.g., Splunk, QRadar, Elastic).
• Proven ability to develop and implement threat detection strategies.
• Strong understanding of Data Loss Prevention (DLP) principles and technologies.
• Experience with incident response processes, including triage and remediation.
• Familiarity with threat modeling methodologies (e.g., MITRE ATT&CK, STRIDE).
• Proficiency in security data analysis and visualization using tools like Python, R, or SQL.
• Experience applying machine learning techniques to security problems.
• Familiarity with cloud security concepts and platforms (e.g., AWS, Azure, GCP).
• Understanding of security challenges associated with Generative AI technologies.
• Knowledge of relevant security standards and regulations (e.g., PCI DSS, GDPR, HIPAA).
• Strong communication and interpersonal skills.
• Excellent analytical and problem-solving skills.
• Passion for continuous learning and professional development.

Nice-to-haves

• Relevant certifications such as CISSP, CEH, or cloud security certifications.