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
As a Staff Full Stack Engineer, you will be a technical leader and a key driver behind our product’s architecture, user experience, and intelligent capabilities.
This role demands a unique combination of enterprise-grade backend stability, modern frontend design, and the ability to
integrate cutting-edge AI technologies natively built on Google Cloud Platform (GCP).
You will partner closely with Product, UX Design, Architecture, and Data Science teams to translate high-level business goals into robust full-stack applications. You will be instrumental in building autonomous AI agentic solutions that proactively plan and execute multi-step tasks,
leveraging our enterprise AI platforms to deliver low-latency, scalable, and ethical implementations. While you will remain deeply hands-on, your success will also be measured by your ability to elevate the engineers around you, champion design standards, and turn complex
AI paradigms into seamless user experiences.
Design, build, and scale highly available, secure backend microservices alongside modern, performance-optimized, and responsive frontends.
Design, orchestrate, and deploy production-ready agentic workflows that leverage LLM
reasoning, prompt engineering, and Retrieval-Augmented Generation (RAG) for independent decision-making and complex task execution.
Develop core full-stack components that interface with Generative AI model deployment and real-time inference systems. Optimize large-scale AI interactions for performance, low latency, and high throughput.
Establish long-term architectural patterns and tooling choices for our Java, Next.js, and Google Cloud ecosystem, preferably GCP Vertex AI or equivalent.
Champion design standards, rigorous type safety, automated testing, and comprehensive monitoring across decoupled repositories, UI components, and AI inference pipelines.
Ensure all full-stack applications and integrated AI systems comply with enterprise security policies, data privacy standards, and responsible AI principles.
Lead deep technical design reviews, perform high-impact code reviews, mentor engineers, and foster a culture of engineering excellence and continuous learning.
Qualifications
3+ years of professional software engineering experience, with a proven track record of operating at a Staff, or Tech Lead level.
2+ years of hands-on experience designing, fine-tuning, and building autonomous AIagentic solutions, LLM architectures, and RAG pipelines in a production setting.
Expert-level experience with Java and Spring Boot (or equivalent enterprise frameworks like Go or advanced Node.js) building resilient distributed systems and secure RESTful APIs. Experience with SQL (MySQL) and NoSQL (MongoDB, Cassandra) schema design and performance tuning.
Deep experience…