drjobs Sr Staff Software Engineer (Fullstack - SaaS Security)

Sr Staff Software Engineer (Fullstack - SaaS Security)

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1 Vacancy
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Job Location drjobs

Santa Clara - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your Career

Palo Alto Networks SaaS Security team is looking for a seasoned and accomplished Fullstack Software Engineer  to help scale out our security platform with a sharp focus on platform and infrastructure capabilities.  As a member of the team you have the unique opportunity to:

  • Be part of a world-class software engineering team that works on various ground-breaking cloud security service offerings
  • Lead initiatives in the platform team to deliver security as a service in the public cloud by providing highly scalable highly available and fault-tolerant solutions
  • Deliver innovative solutions that enhances the security of AI agents and agentic workflows

This role is located at our dynamic Santa Clara California headquarters campus.

Your Impact

  • Lead the technology strategy for building out a world class SaaS security platform influencing critical decisions on technology architectureintegration and reusability
  • Design develop and implement highly scalable software features on our next-generation security platform 
  • Work with different development and quality assurance groups to achieve best in quality software
  • Suggest and implement improvements to the development process
  • Work with DevOps and the Technical Support teams to troubleshoot customer issues
  • Participate in architecture; define new web based features for UI & Management software

Qualifications :

Your Experience 

  • 4 years of industry experience building scalable web applications
  • Proficiency in Front-End technologies: React (hooks Redux component architecture)
  • Strong Back-End development experience in one or more of the following: Java Python
  • Solid understanding of modern software architecture microservices RESTful APIs and cloud platforms (AWS GCP or Azure)
  • Familiar with AI-based technologies (e.g. LLM integration ML model APIs vector databases) and AI-based productivity tools (e.g. Copilot ChatGPT Tabnine)
  • Proven experience leading complex projects and mentoring engineers

Education

  • M.S./B.S. degree in Computer Science or Electrical Engineering or equivalent experience in a related field or equivalent military experience required


Additional Information :

The Team

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 non-sales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $147500 - $200000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

#LI-TD4

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

Employment Type

Full-time

Department / Functional Area

Engineering

About Company

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