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Job Location drjobs

Santa Clara - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your role

We are seeking a Software Engineer to design develop and deliver nextgeneration cloud security service technologies within our Next Generation Firewall team. We want passionate engineers who love to architect and code worldclass security services on Cloud Providers. We are looking for engineers who bring new ideas in all facets of software development. Collaboration and teamwork are at the foundation of our culture and we need engineers who can communicate at a high level and work well with others towards achieving a common goal.

Your Impact 

  • Design develop and implement highly scalable software features on our nextgeneration security platform

  • Ownership of end to end workflow for a major component of the service in its first version

  • Leadership opportunity to drive collaboration with internal/external crossfunctional efforts to deliver best in quality software

  • Collaboratively work with DevOps and the Technical Support teams to troubleshoot customer issues and build better customer experiences

  • Design and build backend services using Go Python


Qualifications :

Your Experience

  • Proficient in one of these programming languages Python Java Golang Familiarity with Linux and Shell

  • Extensive knowledge of ML frameworks libraries data structures data modeling and software architecture (e.g. Scikitlearn MLlib Tensorflow Keras Kubeflow)

  • Working experience applying supervised and/or unsupervised machine learning algorithms on various types of data

  • Experience with Big data and big data infrastructure (e.g. Hadoop Spark)

  • Familiar with database systems such as MySql MongoDB or similar

  • Strong analytical and problemsolving abilities

  • MS/B.S in Machine Learning Computer Science Data Science or a related field or equivalent military experience required

Preferred (Not Required)

  • Working knowledge of NLP techniques or document classifications

  • Working knowledge of different machine learning architectures such as transformers and convolutional networks

  • Experience with cloud platforms (GCP AWS) and containerbased development (Docker Kubernetes)

  • Ability to design implement and deploy components; conduct regression and integration test

Education:  

  • M.S./B.S. degree in Computer Science Engineering or equivalent


Additional Information :

The Team

Our engineering team is at the core of the NextGen Firewall building Cloud Security services natively on Cloud Providers. Engineers on our team work on all aspects of the management and control plane of the service. This includes Activation Onboarding Configuration Orchestration Data APIs and much more. 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 nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $104000 $159500YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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  .

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.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Department / Functional Area

Engineering

About Company

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