Senior Staff Information Security Engineer - AI...

• Architect, design, and build next-generation AI-powered platforms and services that advance the maturity of the Attack Surface Management program.

• Design and develop AI-powered capabilities that automate security investigations, identify root causes, recommend remediation actions, and enable engineers and analysts to quickly understand security exposures, business impact, and remediation guidance.

• Build scalable automation and orchestration frameworks that streamline security operations, improve analyst productivity, and accelerate remediation at enterprise scale

• Leverage AI, automation, and enterprise security data to continuously improve the accuracy, efficiency, and scalability of Attack Surface Management capabilities.

Security Automation

• Design and develop automation frameworks that eliminate repetitive security operations.

• Build intelligent workflows that automatically enrich, correlate, prioritize, and triage security findings.

• Develop scalable orchestration services integrating security platforms, cloud providers, CMDBs, ticketing systems, and engineering workflows.

• Improve analyst efficiency through automation, self-service tooling, and AI-assisted decision making.

Auto Remediation

• Design and implement automated remediation playbooks capable of immediately mitigating critical security exposures.

• Build policy-driven remediation capabilities for cloud infrastructure, endpoints, Kubernetes, networking, and enterprise systems.

• Integrate with Infrastructure-as-Code, CI/CD pipelines, cloud APIs, and security orchestration platforms to enable autonomous remediation where appropriate.

Security Platform Engineering

• Build scalable services that ingest, correlate, enrich, and normalize security telemetry from cloud, infrastructure, vulnerability scanners, asset inventories, identity platforms, and threat intelligence.

• Develop APIs and reusable platform services supporting enterprise-scale Attack Surface Management.

• Design distributed systems capable of processing millions of security findings.

Cross-Functional Engineering

• Partner with Cloud Engineering, Infrastructure, Product Security, IT, and Platform Engineering teams to build integrated security capabilities.

• Translate complex security challenges into scalable software solutions that improve operational efficiency and security outcomes.

• Drive engineering excellence through software design best practices, automation, testing, observability, and operational reliability.

• 8+ years of experience in software engineering, security engineering, platform engineering, or infrastructure engineering, with a track record of building enterprise-scale security platforms, automation frameworks, AI-powered solutions, or cloud-native applications.

• Strong software development experience with Python, Go, Java, or similar languages, building production-grade systems designed for scalability, reliability, and maintainability.

• Experience designing APIs, micro services, distributed systems, event-driven architectures, data services, and cloud-native applications.

• Hands-on experience building AI-powered applications and intelligent automation that streamline complex workflows, improve decision-making, and reduce manual operational effort.

• Deep understanding of enterprise security and infrastructure, including Attack Surface Management, Exposure Management, cloud security, networking, identity, vulnerability management, and security operations.

• Experience designing and securing large-scale cloud and hybrid environments across AWS, Azure, or GCP, including Kubernetes, containers, Linux and Windows infrastructure, Infrastructure-as-Code, and CI/CD pipelines.

• Experience integrating security platforms with cloud providers, asset inventories, CMDBs, ticketing systems, and engineering tools to deliver scalable, data-driven security capabilities.

• Demonstrated ability to lead complex technical initiatives, influence architecture across organizations, mentor engineers, and communicate effectively with engineers, security practitioners, and executive leaders.

• Passion for applying emerging technologies to improve security outcomes, engineering efficiency, and the maturity of Attack Surface Management capabilities.

Preferred Qualifications

• Experience building AI-powered applications, intelligent automation platforms, or enterprise security products.

• Familiarity with modern AI technologies, cloud-native architectures, distributed systems, platform engineering, Infrastructure-as-Code, CI/CD, and workflow orchestration.

• Knowledge of enterprise security platforms such as Cortex XSIAM, Cortex ASM/Xpanse, Tenable, Nexpose or similar technologies is a plus.

• Experience supporting regulated cloud environments and security compliance frameworks such as FedRAMP, NIST, PCI,MLPS, and UK Cyber Essentials is highly desirable.

Certifications: Relevant certifications such as CISSP, AWS Certified Security Specialty, Google Professional Cloud Security Engineer, Azure Security Engineer, Certified Kubernetes Security Specialist (CKS), or equivalent are preferred but not required.

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here (https://benefits.paloaltonetworks.com/) .

$151,500.00 - $245,025.00/yr

Our Commitment

We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.