Sr Staff Engineer Software (Machine Learning - NGFW SVR) at Palo Alto Networks

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

237500.0

Posted On

01 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Backend Engineering, APIs, Data Pipelines, Model Training, Monitoring, Logging, Collaboration, Problem Solving, Object-Oriented Programming, Cloud-Native Development, RESTful API Design, Microservices Architecture, Automation Tools, Documentation, Security

Industry

Computer and Network Security

Description

Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are 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 Description Your Career We are seeking a highly experienced Sr Staff Software engineer with a good understanding of machine learning principles to join our team and drive the development of our Customer/Support Copilot Pipeline(s). 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. Your Impact 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 Your Experience Your Experience 3+ years of experience using an Object–Oriented 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 You are a team player with can-do attitude to tackle difficult problems and you inspire your team to do the same You have high energy and the ability to work in a fast-paced environment You enjoy collaboration and communication with multiple teams You are a fast learner and eager to absorb new emerging technologies You have a M.S./B.S. degree in Computer Science or Electrical Engineering or equivalent military experience Additional Information 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/commissioned roles) is expected to be between $147000/YR - $237500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that 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 [email protected]. 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.

Responsibilities

Develop and maintain scalable backend systems and APIs that integrate with machine learning components. Collaborate with data scientists to deploy and optimize AI prompts within the support pipeline.