Principal Machine Learning Engineer Cloud Platform Management - Security Posture

Your Career

Help build what is next.  Our Cloud Management Platform is a public cloud delivered management platform to manage all Palo Alto Networks Next generation network security solutions. Its an easytouse scalable and secure platform to operationalize complex deployments using the Palo Alto Networks network security portfolio.

This role is located at our dynamic Santa Clara California headquarters campus with a minimum of 3 days in office.

Your Impact

• Conceptualize Collaborate and Develop highly scalable cloud native Network Management System for managing devices and services at scale in hybrid deployments
• Lead and Design nextgeneration configuration data management architecture and security posture products for customers
• Build Consolidated and unified framework to support AIops functionality including bpa (best practice checks and custom checks) policy optimizer policy analyzer for all of the form factors
• Handson participation in developing next generation configuration management architecture
• Technical leadership and endtoend delivery of solutions in collaboration with crossfunctional product management development and quality assurance teams in a fast paced environment
• Deliberate and build frameworks to improve quality of micro services
• Work with DevOps and Technical Support teams to investigate and resolve critical customer defects
• Recruit and Mentor new team members

Qualifications :

Your Experience 

• MS/BS in Computer Science or equivalent or equivalent military experience
• 10 years of experience in building large enterprise applications required
• 5 years experience in technical leadership roles in building major cloud native apps or subsystems
• Proven ability to lead and collaborate with many crossfunctional teams with an emphasis on endtoend delivery
• Experience in the full software development life cycle including coding standards code reviews source control management build processes testing peer review and operations

Must haves

• Strong programming experience with Python (Java and Go nice to have as well)
• Data analysis experience
• Machine learning/deep learning frameworks (e.g. scikitlearn TensorFlow/Keras PyTorch)
• LLMs Embedding/vector databases RetrievalAugmented Generation (RAG)
• Formal modeling SMT solvers
• Graph theory
• Containerization experience (e.g. Docker Kubernetes)

Also required & Preferred Qualifications:

• Security Domain Knowledge: Familiarity with security best practices risk assessment and common threat models. Understanding of security frameworks such as NIST CIS Benchmarks ISO 27001 or STIGs is a plus.
• Configuration Schema Expertise: Experience working with configuration schemas such as JSON YAML or XML especially in the context of security policy enforcement
• Security Policy & Profiles: Understanding of security policies access control models and configuration profiles across operating systems cloud environments and enterprise applications.
• Knowledge of security controls and compliance requirements in cloud (AWS Azure GCP) and onprem environments.
• Familiarity with logging monitoring and security incident response practices.

• Experience with or familiarity of Test Driven Development and Continuous Integration 
• Experience developing in Kubernetes based environments is a plus
• Experience developing microservice based solutions on public cloud infrastructure 
• Knowledge of and experience building enterprise software with graph databases 
• Experience building network and security configuration management systems 
• Experience building appliance based network management solutions 

Additional Information :

The Team

Our engineering team is at the core of our products connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

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 nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $126000 $204500/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.

Is role eligible for Immigration Sponsorship: Yes