Principal Engineer Software(Cortex XSOAR/XSIAM)

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

• Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
• Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
• Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
• Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
• Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

• 6+ years of software engineering experience, including the development of scalable server-side application using GO or Python
• Basic understanding and familiarity with the AI landscape, including various models, frameworks, and prompting techniques.
• Demonstrated experience integrating Generative AI solutions into backend architectures.
• Proficiency with a variety of database technologies.
• Experience with distributed cloud products and major cloud platforms (e.g., GCP, AWS, Azure).

• Experience with containerization and orchestration technologies such as Kubernetes and Docker.
• Proven ability to learn and adapt to new technologies and complex technical challenges in a fast-paced environment.