Principal Software Engineer (SaaS Agent Security)
- Compensation
- Not disclosed
- Location
- Office - USA - CA - Headquarters
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Full time
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years in information security, cloud security engineering, or application security.
- AI & Agent Threats: Deep understanding of agentic AI risks, prompt/indirect injection, OAuth abuse, privilege escalation, and data leakage across LLM/agent stacks.
- SaaS Architecture: Strong grasp of enterprise SaaS platforms (e.g., Salesforce, M365, Google Workspace, ServiceNow) and SSPM platforms.
- Scripting & Automation: Proficiency in Java preffered. Next - Python, Go, or Bash for building security automation and API integrations.
- Cloud Provider: GCP basics and ability to configure GCP, understand BQ and work on GCP Console.
- Certifications (Preferred): CISSP, CCSP, or cloud-native security credentials.
Full description
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 SummaryYour Career
Architecting defenses, building monitoring pipelines, and managing governance for agentic AI workflows, API permissions, and enterprise SaaS-to-SaaS or agent-to-SaaS connections. Specialize in coding agent security such as Claude code, Codex and Cursor.
Key Responsibilities:Agentic AI & Runtime Defense: Architect security controls for autonomous AI agents, including sandboxing, runtime policy enforcement, and execution safety monitoring.
SaaS & API Security Posture: Deploy, integrate, and operationalize SaaS agent security and data security to monitor third-party and internal SaaS risk.
Identity & Non-Human Access: Secure OAuth flows, OpenID Connect (OIDC), SAML/SSO, API token privileges, and agent-to-SaaS authorization models.
Detection & Incident Response: Build production-grade security tooling, automated telemetry collection, and incident response playbooks for agent/SaaS anomalies.
Cross-Functional Collaboration: Partner with SRE, AI/ML research, product, and compliance teams to bake guardrails into CI/CD and deployment pipelines.
Qualifications Technical Experience:
- 5+ years in information security, cloud security engineering, or application security.
- AI & Agent Threats: Deep understanding of agentic AI risks, prompt/indirect injection, OAuth abuse, privilege escalation, and data leakage across LLM/agent stacks.
- SaaS Architecture: Strong grasp of enterprise SaaS platforms (e.g., Salesforce, M365, Google Workspace, ServiceNow) and SSPM platforms.