Palo Alto Networks - Santa Clara, CA

posted 4 months ago

Full-time - Senior
Santa Clara, CA
Professional, Scientific, and Technical Services

About the position

At Palo Alto Networks, we are on a mission to be the cybersecurity partner of choice, protecting our digital way of life. Our vision is to create a world where each day is safer and more secure than the one before. We are committed to challenging and disrupting the traditional ways of doing things, and we are looking for innovators who share our passion for shaping the future of cybersecurity. In this role as a Senior Staff Software Engineer focused on AI Security Cloud, you will be part of a core engineering team dedicated to building robust products that ensure the runtime security of our customers, particularly when they are utilizing AI services, including large language models (LLMs). You will collaborate closely with product managers, cybersecurity researchers, AI application researchers, and infrastructure software engineers to design and build innovative products that allow our customers to use AI services securely. Your responsibilities will encompass all phases of the product development cycle, from definition and design through implementation and testing. You will implement real-time security services for our customers and work with product lifecycle management (PLM) on new feature requirements, as well as collaborate with quality assurance (QA) and DevOps teams on new release deployments. This position is pivotal in ensuring that our AI security cloud service meets the highest standards of security and reliability.

Responsibilities

  • Collaborate with product managers, cybersecurity researchers, AI application researchers, and infrastructure software engineers.
  • Design and build innovative and solid products to ensure secure usage of AI services for customers.
  • Participate in all phases of the product development cycle, from definition and design through implementation and testing.
  • Implement real-time security services for customers.
  • Work with PLM on new feature requirements.
  • Collaborate with QA and DevOps on new release deployments.

Requirements

  • Solid programming skills in Golang and Python.
  • Strong knowledge of HTTP 1.1/HTTP2 protocols and gRPC.
  • Profound knowledge of web service proxy technology, especially Envoy and WebAssembly.
  • Experience in designing large distributed systems and web services in the cloud.
  • Deep knowledge of the GCP platform is a plus.
  • Familiarity with major CSP LLM foundation models is a plus.
  • Strong problem-solving skills.
  • A master's degree in computer science or equivalent is preferred, or equivalent military experience is required.

Nice-to-haves

  • Experience with AI security solutions.
  • Knowledge of cybersecurity best practices.
  • Familiarity with machine learning concepts.

Benefits

  • Flexible work arrangements with a focus on in-person collaboration.
  • Opportunities for professional growth and development.
  • Commitment to diversity and inclusion in the workplace.
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