Principal Software Engineer - Agentic AI Security (Cortex)

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 The Palo Alto Networks® CASB team is looking for a Principal Software Engineer to help build our CASB Security capability on the cloud. You will help build a world-class security service for Fortune 100 companies and be part of a team working on ground-breaking cloud security offerings. You will accelerate the development team in delivering security as a service in the public cloud by providing highly scalable, available, and fault-tolerant infrastructure. Key Responsibilities Develop software products for Agentic AI Security. Discover attack vectors for AI Agents and Low Code/No Code applications. Collaborate with PMs and Engineering Leaders to define features for securing AI agents and applications. Conduct quick prototyping and POCs to demonstrate security issues and potential solutions for Agentic AI platforms. Write clean, testable, readable, and maintainable code in Java, Python, or Go. Design, develop, and implement scalable software features and infrastructure for our cloud-native security platform. Work cross-functionally with Product, SRE, and Engineering teams to deliver new security-as-a-service offerings. Collaborate with customer support teams to improve end-customer outcomes. Qualifications Required Qualifications Minimum of 10 years of software engineering experience, with a focus on cloud-native application development. Minimum of 1 year of experience in AI Security research, performing security evaluations, and threat modeling. Minimum of 6 years of experience running workloads on cloud-based architectures (AWS/GCP preferred). Minimum of 6 years of experience in cloud technologies like ElasticSearch, Redis, Kafka, or MongoDB. Strong programming skills in Python, Go, or Java, with experience in building distributed systems. Knowledge of AI/LLM security, application security, network security, and secure coding practices. Knowledge of OWASP Top 10 vulnerabilities for Low Code/No Code and AI. Experience with Docker and Kubernetes or other container orchestration platforms. Experience with backend development (REST APIs, Databases, Serverless) of distributed cloud applications. Preferred Qualifications BS/MS in Computer Science or another engineering/technical degree. Experience and interest in reverse engineering, jailbreaking, and hacking AI systems. Experience with Low Code/No Code platforms like Microsoft Power Platform or Salesforce. Experience with Agentic AI platforms such as Microsoft Copilot Studio, Amazon Bedrock, or Google Vertex AI. Strong understanding of DevOps and Continuous Delivery principles. Experience with building and delivering services and workflows at scale using microservices architectures. Experience with AI-based conversational UI, chatbot platforms, and AI ... (truncated, view full listing at source)