Sr Software Engineer Agentic AI Security Bay Area

Your Career

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.

• 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.

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, Elastic Search, Redis, Kafka/Pub Sub, Mongo
  
  DB, 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.

• 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, jail breaking, 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.

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

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