Sr Software Engineer (Cortex Data Lake) Job at Palo Alto Networks, Indiana

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  • Palo Alto Networks
  • Indiana

Job Description

Sr Software Engineer (Cortex Data Lake) Location Hybrid work in Santa Clara, CA : 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.

Our Approach to Work

We lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible - from your wellbeing support to your growth and development, and beyond!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. This setup fosters casual conversations, problem-solving, and trusted relationships. While details may evolve, our goal is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and thrive, together!

Your Career

Cortex Data Lake (CDL) enables AI-based innovations for cybersecurity with the industry's only approach to normalizing and stitching together an enterprise's data. Cortex Data Lake 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

CDL is built to benefit from public cloud scale and locations ready for elastic scale, eliminating the need for local compute and storage. CDL 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. Your Impact

  • Tackle new and challenging problems by building a new generation of highly scaled data processing and analytics systems for use in AI-powered use cases

  • Contribute in architecture, design and development of features

  • Solve complex problems in pipeline scaling and data storage to facilitate AI/ML analytics and AI-powered dashboards

  • Suggest and implement improvements to the development processes

  • Work with DevOps and Technical Support teams to investigate and resolve critical customer defects

Qualifications

Your Experience

  • BS or MS degree in Computer Science or related field

  • 4+ years of hands-on experience in building large enterprise applications

  • Must have extensive hands-on programming skills in Java and distributed systems

  • Deep understanding of design patterns

  • Good communication skills and ability to work in a fast-paced environment

Nice to have

  • Strong knowledge of databases SQL, NoSQL, Time series, GraphDB etc

  • Experience with one or more cloud platforms such as AWS, GCP , their services (DataFlow, BQ, Athena etc) and Kubernetes

  • Knowledge of Linux fundamentals and networked computing environment concepts

Additional Information

The Team

Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before.

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.

Our Commitment

We're trailblazers that 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 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 $124,600/yr to $201,250/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here .

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Job Tags

Full time, Casual work, Local area, 3 days per week,

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