\\\\Our Mission\\\\ At Palo Alto Networks®, were united by a shared missionto 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 youre ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youre 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. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. \\\\Job Summary\\\\ \\\\Your Career\\\\ We are seeking a highly experienced Principal Software engineer with a good understanding of machine learning principles to join our team and drive the development of our Support Transformation. In this role, you will combine robust backend engineering expertise with machine learning expertise to build, deploy, and maintain a cutting-edge support system that enhances user experiences and operational efficiency. \\\\Key Responsibilities\\\\ \\+ Develop and maintain scalable backend systems and APIs that integrate seamlessly with machine learning components. \\+ Architect and implement data pipelines to support efficient model training, validation, and real-time inference. \\+ Collaborate with data scientists to deploy, monitor, and optimize AI prompts within the support pipeline. \\+ Ensure smooth integration of ML solutions into production systems, focusing on performance, reliability, and scalability. \\+ Build automation tools for continuous integration, delivery, and deployment of backend and ML components. \\+ Implement monitoring and logging solutions to proactively address performance issues and ensure system reliability. \\+ Work closely with cross-functional teams (product, QA, DevOps, and customer support) to align development efforts with business needs. \\+ Troubleshoot and resolve complex issues that arise within both the backend infrastructure and ML models. \\+ Ensure code quality, security, and data privacy by following industry best practices. \\+ Maintain clear and concise documentation for system architecture, API endpoints, and ML model integration processes. \\\\Qualifications\\\\ \\\\Required Qualifications\\\\ \\+ 5+ years of experience using an ObjectOriented programming language (Java/Python) \\+ Experience with cloud-native service development stack on GCP \\+ Knowledge of Object Oriented Programming design concepts \\+ Solid grasp of RESTful API design and micro services architecture. \\+ Basic understanding of machine learning concepts and familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus. \\+ Skilled in diagnosing and solving complex problems while providing detailed technical analysis \\+ Attention to details and high behavioral standards \\+ Team player with can-do attitude to tackle difficult problems and you inspire your team to do the same \\+ High energy and the ability to work in a fast-paced environment \\+ Excellent collaboration and communication with multiple teams \\+ Fast learner and eager to absorb new emerging technologies \\+ M.S./B.S. degree in Computer Science or Electrical Engineering or equivalent military experience \\\\Compensation Disclosure\\\\ The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here () . $157,200.00 - $254,100.00/yr \\\\Our Commitment\\\\ Were trailblazers that dream big, take risks, and challenge cybersecuritys status quo. Its simple: we cant 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 . 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?: Yes

The role requires 5+ years of experience using an Object-Oriented programming language such as Java or Python. Candidates must have experience with the cloud-native service development stack on GCP and a solid grasp of RESTful API design and microservices architecture. A basic understanding of machine learning concepts and familiarity with ML frameworks like TensorFlow or PyTorch is considered a plus. The position also necessitates strong problem-solving skills, attention to detail, and the ability to collaborate effectively in a fast-paced environment. A M.S./B.S. degree in Computer Science or Electrical Engineering, or equivalent military experience, is required.