Sr Staff Engineer Software (Feature Dev AIOps Security Platform)

Company Description

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 office-based 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 office-based we want our teams to be together four days per week.

This role is located at dynamic our Santa Clara California HQ.

Job Description

Your Impact

• Drive the architecture and development for key modules on our next-generation Deep learning-based AIOps security platform as part of Cloud management

• Develop architectures that are inherently secure, robust, scalable, modular, API-centric

• Own the organizational objective of end-to-end services health and customer experience

• Cultivate a safe work culture that inspires individual decision-making and innovation

• Coach for frequent and effective feedback among team members

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

• 5+ experience in design, algorithms and data structures - Expertise with one or more of the following is a must - Java, Python, Cloud services, Data platforms

• Able to weigh several, often conflicting constraints, and make quick decisions in a dynamic and quickly-growing company.

• Possess technical experience in Observability/Visibility Engineering, Security, Cloud Infrastructure, and Domain Controllers to recognize the important decisions your team faces and provide meaningful feedback

• Previous experience building and running high-scale geographically distributed always-on systems.

• A good mix of Unix toolchain and development experience in a combination of native, managed, and scripting programming languages. 

• Experience with large-scale cluster management systems like Kubernetes and Mesos is desirable.

• Possess exceptional written and verbal communication skills

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent military experience required

• 5+ years of industry experience

Additional Information

The Team

Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next-generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep-learning techniques. Our goal is to be able to prevent service-impacting issues in critical security infrastructure that operates 24/7/365 with zero false positives and zero false negatives.

Our Commitment

We’re trailblazers who dream big, 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 accommodations@paloaltonetworks.com.

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.

The compensation offered for this position will depend on qualifications, experience, and work loca