Sr Staff Software Engineer - Agentic AI Security (bay Area Only)

Sr Staff Software Engineer - Agentic AI Security (Bay Area Only)

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.

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 Description

Palo Alto Networks® is looking for a Sr Staff Software Engineer to help us build out our AI Agent Security capability on the cloud. You have the unique opportunity to:

• Help build out a world-class security service that caters to the growing needs of multiple Fortune 100 enterprise companies across the globe
• Be part of a world-class software engineering team that works on various ground-breaking cloud security service offerings.
• Accelerate the development team in delivering security as a service in the public cloud by providing highly scalable, highly available, and fault-tolerant infrastructure.

Your Impact:

• Responsible for developing software products for Agentic AI Security.
• Responsible for the complete software development life cycle, including requirement analysis, design, development, deployment, and support.
• Write clean, testable, readable, scalable, and maintainable Java/ Python / Go Lang code.
• Design, develop, and implement highly scalable software features and infrastructure for our security platform, ready for cloud-native deployment from inception to completion.
• Participate actively and contribute to design and development discussions.
• Develop a solid understanding and be able to explain advanced Cloud Computing and Cloud Security concepts to others.
• Work cross-functionally with Product Management, SRE, Software, and Quality Engineering teams to deliver new security-as-a-service offerings to the market in a timely, high-quality manner.
• Be able to communicate goals and desired outcomes to internal project teams clearly.
• Work closely with customer support teams to improve end-customer outcomes.

Qualifications

Your Experience:

• 7+ years of experience in software engineering, with a focus on cloud-native application development, at large organizations or innovative startups.
• Strong programming skills in one of Python, Go, or Java, with experience in building distributed systems.
• Preferred experience with security products and integration with third-party APIs and services.
• 6+ years of Experience running workloads on cloud-based architectures. (GCP experience preferred)
• Experience in developing scalable services using technologies like Big Query, Spanner, ElasticSearch, Redis, Kafka/PubSub, MongoDB, etc.
• Experience with Docker and Kubernetes or other container orchestration platforms.
• Excellent troubleshooting abilities. Isolate issues found during testing and verify bug fixes once they are resolved.
• Experience with building and delivering services and workflows at scale, leveraging microservices architectures.
• Good understanding of public cloud design considerations and limitations in areas of microservice architectures, security, global network infrastructure, distributed systems, and load balancing.
• Preferred experience with AI-based conversational UI and chatbot platforms and AI Agents.
• Can-do attitude and ability to make trade-off judgements with data-driven decision making.
• High energy and the ability to work in a fast-paced environment.
• Enjoys working with diverse teams, with strong collaboration and communication skills.

Nice to have:

• Experience and deep understanding of Low Code / No Code platforms like Microsoft Power Platform, Salesforce, Zapier, Marketo, etc.
• Experience with Agentic AI platforms such as Microsoft Copilot Studio, Salesforce Agentforce, Crew AI, Amazon Bedrock, Azure AI, Google Vertex AI, OpenAI, etc.
• Experience and interest in reverse engineering, jailbreaking, and hacking AI systems.
• Experience in AI Security research and performing security evaluations and threat modeling.
• In-depth experience with exploiting OWASP LLM Top 10 vulnerabilities, OWASP Low Code No Code Top 10 vulnerabilities, and OWASP NHI Top 10 vulnerabilities.
• Knowledge of AI Agents / LLM security, Application security, Network security, Authentication, Authorization, Identity systems, encryption, and secure coding practices.

Preferred Qualification:

BS/MS in Computer Science, other engineering/technical degree