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
- 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 - 8+ 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 building complex, production-grade web applications using React, TypeScript, Next.js, and Node.js. Strong understanding of SSR (Server-Side Rendering), state management, and building intuitive, responsive interfaces for data-dense AI workflows.
- Strong experience designing and deploying distributed systems on Google Cloud Platform, specifically using Google Kubernetes Engine (GKE) or Cloud Run, alongside modern CI/CD tools (Harness, Jenkins).
- A strong focus on the end-user. You understand how to handle the unique UI/UX challenges of Generative AI, such as streaming model responses, conversational state management, and elegant fallback UI states.
- Exceptional ability to articulate complex technical, cloud, and AI concepts to both deeply technical engineers and non-technical business stakeholders.
- Preferred / Bonus Points
- Proficiency in Python for backend development, quick AI prototyping, and data
- processing.
- Experience with open-source AI frameworks (LangChain, LlamaIndex).
- Google Cloud Certified Professional Cloud Architect or Professional Data Engineer.
- Familiarity with cybersecurity principles for AI applications.
Our Commitment We're trailblazers that dream big, 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 accommodations@paloaltonetworks.com.
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.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
