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Senior Information Security Engineer – AI & Attack Surface Management

Job in Anaheim, Orange County, California, 92801, USA
Listing for: Palo Alto Networks
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Cybersecurity
Salary/Wage Range or Industry Benchmark: 152000 - 245000 USD Yearly USD 152000.00 245000.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff Information Security Engineer – AI & Attack Surface Management

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values:
Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real‑world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real‑time problem‑solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

Your Impact
Build the Next Generation of ASM
  • 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.

Qualifications

  • 8+ years of experience in software…

Position Requirements
10+ Years work experience
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