Principal Software Engineer (Internet Security)

Santa Clara, CA, United States

Palo Alto Networks

Implement Zero Trust, Secure your Network, Cloud workloads, Hybrid Workforce, Leverage Threat Intelligence & Security Consulting. Cybersecurity Services & Education for CISO’s, Head of Infrastructure, Network Security Engineers, Cloud...

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Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Your Career

As a member of the Advanced URL Filtering (Internet Security) Infrastructure and Data Science Team, you will work closely with data scientists, security researchers, and other engineers on implementing different projects to detect and defend against various emerging threats in the areas of Web Security. You will build big data and distributed systems that use machine learning and deep learning models to analyze and categorize an enormous amount of URLs. You will be a key person in transforming ideas into products that are part of the next-generation security platform. 

Your Impact

  • Build and maintain threat research systems for both customer-facing products and internal infrastructures.

  • Work closely with team members and Product Managers to collect product requirements, create design drafts, and develop functional specifications.

  • Implement solutions by adhering to software development guidelines and best practices.

  • Work with SREs on production release/deployment and monitoring.

Qualifications

Your Experience 

  • BS or MS in Computer Science or Computer Engineering. 

  • 7+ years of related experience.

  • Creative thinker and team player, with good communication skills and a desire to make differences.

  • Proficient with Golang or Java. Must also be competent with Python. 

  • Ability to design, implement, and deploy backend services and data pipelines; conduct regression and integration tests.

  • Proficient in cloud platforms (GCP, AWS, Azure) and container-based development (Docker, Kubernetes).

  • Knowledge of web development technologies such as Javascript or Typescript is a plus

  • Proficient in Linux OS and shell scripting.

  • Proficient in database systems such as MongoDB, MySQL, or similar.

  • Experience with Big data, distributed systems, and ETL pipelines such as Spark.

  • Have basic knowledge of Machine Learning and Web Content Classification.

  • Hands-on and humble attitude, self-directed and passion in cybersecurity.

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 $170,000 - $225,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

#LI-TD1

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  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.

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Category: Engineering Jobs

Tags: AWS Azure Big Data Classification Computer Science Data pipelines Deep Learning Distributed Systems Docker Engineering ETL GCP Golang Java JavaScript Kubernetes Linux Machine Learning MongoDB MySQL Pipelines Python Research Security Shell scripting Spark TypeScript

Perks/benefits: Career development Equity / stock options Health care Medical leave Salary bonus

Region: North America
Country: United States

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