Staff Software Engineer ((Java - 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 AIOps solutions to discover threats, provide intelligence, and protect devices.

Your Impact

• Design and implement 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
• Participate in the organizational objective of end-to-end services health and customer experience
• Participate & champion a work culture that inspires individual decision-making and innovation

Your Experience 

• Experience developing features - design, algorithms and data structures
• Experience with large-scale cluster management systems like Kubernetes and Mesos is desirable, micro services, public cloud providers
• Expertise with one or more of the following is a must - Java (required), Python, Cloud services, Data platforms 
• Previous experience building and running high-scale geographically distributed always-on systems
• Demonstrated ownership of solutions for scalable Observability/Visibility, CI/CD, Cloud Infrastructure, Domain Controllers and Automated security solutions covering several dozen micro services running on thousands of instances and containers
• A good mix of Unix toolchain and development experience in a combination of native, managed, and scripting programming languages
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent military experience required

Collaborative Team Skills

• Able to weigh several, often conflicting constraints, and make quick decisions in a dynamic and quickly-growing company
• Possess exceptional written and verbal communication skills

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.

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 $104,000/yr to $169,500/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. 

Is role eligible for Immigration Sponsorship?: Yes

Our Commitment

We’re problem solvers that 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  [email protected].

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.