Sr Staff Software Engineer - Agentic AI Security

Sr Staff Software Engineer – Agentic AI Security Build our AI Agent Security Capability on the cloud, working with a world-class software engineering team to deliver highly scalable, highly available, and fault‑tolerant security services for Fortune 100 enterprises. 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 built on challenging and disrupting the status quo, and we seek innovators who are committed to shaping the future of cybersecurity. Who We Are We believe collaboration thrives in person. Most of our teams work from the office full time, with flexibility when needed, supporting real‑time problem solving and stronger relationships. We are a company that challenges what is possible and embraces ambiguity to drive breakthrough outcomes. Job Summary Palo Alto Networks® is looking for a Sr Staff Software Engineer to help build a world‑class AI Agent Security service on the cloud. Responsibilities 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/GoLang 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 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. Compensation Disclosure 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/commissioned roles) is expected to be between $165,000 - $198,000/YR. The offered compensation may also include restricted stock units and a bonus. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at View email address on click.appcast.io. Palo Alto Networks is an equal‑opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr Palo Alto Networks