Sr Staff Engineer Software (Machine Learning NGFW SVR)

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 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
•  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

Were problem solvers that 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.

Remote Work :

No

Employment Type :

Full-time