Staff Engineer Software (Feature Development Platform)

Your Career

You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to discover threats provide intelligence and protect devices.

We expect officebased employees to be in the office four days per week with one day working from where they choose. We believe being together facilitates casual conversations and those magic moments where we can work on issues and ideas informally. These moments build capability and deepen trusted relationships and allow our people to feel safe in taking risks and being disruptive. Like so many companies we are working through the details and things could change . but in general if a role is deemed officebased we want our teams to be together four days per week.

Your Impact

• Drive the architecture and development for key modules on our nextgeneration Deep Learning based AIOps security platform as part of Cloud management
• Develop architectures that are inherently secure robust scalable modular APIcentric
• Own the organizational objective of endtoend services health and customer experience
• Cultivate a safe work culture that inspires individual decisionmaking and innovation

Qualifications :

Your Experience 

• Demonstrated ownership of solutions for scalable Observability CI/CD Cloud Infrastructure and Automated security solutions covering several dozen micro services running on thousands of instances and containers
• 2 experience in design algorithms and data structures Expertise with one or more of the following is a must Java Python C Cloud services Data platforms
• Able to weigh several often conflicting constraints and make quick decisions in a dynamic and quicklygrowing company.
• Possess technical experience in Observability/Visibility Engineering Security Cloud Infrastructure Domain Controllers in order to recognize the important decisions your team faces and provide meaningful feedback
• Previous experience building and running highscale geographically distributed alwayson systems.
• A good mix of Unix toolchain and development experience in a combination of native managed and scripting programming languages. 
• Experience with largescale cluster management systems like Kubernetes and Mesos is desirable.
• Possess exceptional written and verbal communication skills
• Bachelors degree in Computer Science Engineering or related field or equivalent military experience required
• 2 years of industry experience

Additional Information :

The Team

Drawing on the near realtime data collected through PANOS device telemetry our industryleading next generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their nextgenerationfirewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced timeseries forecasting and anomaly detection using novel deep learning techniques. Our goal is to be able to prevent serviceimpacting issues in critical security infrastructure that operates 24/7/365 with zero false positives and zero false will be working on the best large language model in the cyber security industry.

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 $104000 $169500 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.