Sr Staff Software Engineer - Agentic AI Security (Bay Area only) at Palo Alto Networks

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

198000.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Cloud-Native Development, Java, Python, Go, Distributed Systems, Cloud Security, Microservices, Docker, Kubernetes, Troubleshooting, AI Security, Big Query, ElasticSearch, Redis, Kafka

Industry

Computer and Network Security

Description

Company Description Our Mission 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. Who 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 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. 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 Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest-growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about creating products to solve problems no one has tackled before. They define the industry rather than waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Our engineering team has an unrivaled opportunity to build the products and practices that will support our company's growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people and products can transform a business, this is the team for you. If you don’t wait for directions but instead identify new features and opportunities to get better, this is your new career. 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. A description of our employee benefits may be found here. #LI-NP1 #LI-Hybrid 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 [email protected]. 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.

Responsibilities

Develop software products for Agentic AI Security and manage the complete software development life cycle. Collaborate with cross-functional teams to deliver new security-as-a-service offerings.