Palo Alto Sr Staff Engineer Software Agentic AI Security 

United States, California 

685051445

Being the cybersecurity partner of choice, protecting our digital way of life.

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 on our security platform ready for cloud native deployment from inception to completion.

• Participate actively and contribute to design and development discussions.

• Develop 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 fashion with excellent quality.

• Be able to clearly communicate goals and desired outcomes to internal project teams.

• Work closely with customer support teams to improve end-customer outcomes.

Your Experience

• 6+ 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- Data and DLP, CASB Security, SASE, integration with third party APIs and services.

• 6+ years Experience with running workloads on cloud-based architectures. (AWS/GCP experience preferred)

• 6+ years of experience in cloud technologies like ElasticSearch, Redis, Kafka, Mongo DB, Spring Boot.

• 5+ Experience and deep understanding of Low Code / No Code platforms like Microsoft Power Platform, Salesforce, Zappier, Marketo etc.

• 3+ experience with Agentic AI platforms such as Microsoft Copilot Studio, Salesforce Agentforce, Crew AI, Amazon Bedrock, Azure AI, Google Vertex AI, Open AI 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 backend development (Rest APIs, Databases, Serverless computing) of distributed cloud applications.

• Experience with building and delivering services and workflows at scale, leveraging microservices architectures.

• Experience with the agile process and working with software development teams involved with building out full stack products, deployed on the cloud at scale.

• Good understanding of public cloud design considerations and limitations in areas of microservice architectures, security, global network infrastructure, distributed systems, and load balancing.

• Strong understanding of principles of DevOps and Continuous Delivery.

• 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 many different teams with strong collaboration and communications skills.

• BS/MS in Computer Science or Computer Engineering or related technical degree or equivalent military experience required

Preferred Qualification:

• Experience and interest in reverse engineering, jail breaking and hacking AI systems.

• 4+ years 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.

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 $126000 - $204500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.