Palo Alto Networks is hiring a

Sr Principal Engineer Software

Santa Clara, United States
Full-Time

Your Career

As a member of the SLS team we are looking for you to make a large impact as a Sr Principal Engineer. Your technical expertise in industry innovations, trends and practices, will help architect solutions to complex problems. You will deliver on critical business needs and act as a role model and mentor, exemplifying Palo Alto Networks culture. In addition, we are looking to you to help build great products for us. 

Your Impact

  • Thought leadership in driving the technical roadmap and Hands-on participation in developing next generation data processing systems optimized for AI-powered use cases
  • Conceptualize, Architect and develop highly efficient multi-cloud data pipelines to process & store multi-tenant data at Petabyte scale to enable AI/ML Applications
  • Keep the product updated with best-of-the-times technology in a fast-evolving environment
  • Work with DevOps and Technical Support teams to investigate and resolve critical customer defects
  • Recruit and Mentor new team members

Your Experience 

  • 10+ years of hands-on experience in building large enterprise applications with 4+ years experience in technical leadership roles 
  • Extensive hands-on programming skills in Java
  • Extensive hands-on experience in designing, coding, and maintaining distributed systems
  • Experience with one or more cloud platforms such as AWS, GCP, their services (DataFlow, BQ, Athena etc) and Kubernetes
  • Strong knowledge of databases SQL, NoSQL, Time series, GraphDB etc
  • Strong leadership and communication skills

The Team

Strata Logging Service Data Platform (SLS) enables AI-based innovations for cybersecurity with the industry’s only approach to normalizing and stitching together an enterprise’s data. Strata Logging Service can:

  • Radically simplify customer security operations by collecting, integrating, and normalizing an enterprise’s security data.
  • Effortlessly run advanced AI and machine learning with cloud-scale data and compute.
  • Constantly learns from new data sources to evolve customer defenses.

SLS is built to benefit from public cloud scale and locations ready for elastic scale, eliminating the need for local compute and storage. SLS has strict privacy and security controls in place to prevent unauthorized access to sensitive or identifiable information. Its infrastructure is secured with industry-standard best practices for security and confidentiality, including rigorous technical and organizational security controls

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 $170000 - $277000/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

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.

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