Implement Zero Trust, Secure your Network, Cloud workloads, Hybrid Workforce, Leverage Threat Intelligence & Security Consulting. Cybersecurity Services & Education for CISO’s, Head of Infrastructure, Network Security Engineers, Cloud Architects & SOC Managers. Backed by Greylock, Sequoia and Felicis.
About the role
The IT Engineering team builds AI-first enterprise systems that power critical business workflows across the company. This role will focus on advancing finance-related initiatives, partnering closely with Finance stakeholders to modernize and automate high-impact processes.
What they're looking for
- Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience)
- 3-5+ years of software engineering experience
- Strong full-stack development experience
- Practical experience integrating AI services (Vertex AI, OpenAI, RAG, embeddings, tool/function calling)
- Experience with CI/CD, containerization, and production observability
- Strong debugging, system thinking, and attention to detail
More about this role
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.
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.
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