Software Engineer (Big Data)

Palo Alto Networks

Software Engineer (Big Data)

Santa Clara, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Your Career

    We are seeking an experienced Big Data Software Engineer to design, develop and deliver next-generation technologies within our SASE team. We want passionate engineers who love to code and build great products. 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 and work well with others towards achieving a common goal.

    Your Impact

    • Design, develop and implement highly scalable software features on our next-generation security platform as part of our Prisma Access

    • Work with different development and quality assurances groups to achieve the best quality

    • Suggest and implement improvements to the development process

    • Work with DevOps and the Technical Support teams to troubleshoot customer issues

  • Qualifications

    Qualifications

    Your Experience

    • M.S./B.S. degree in Computer Science or Electrical Engineering or equivalent military experience required

    • At least 2 years of development experience

    • Experience to developing and deploying microservices in the cloud/Kubernetes

    • Experience with RESTful interfaces and Build Management tools (Gradle, maven)

    • Experience in continuous integration and design

    • Experience with Test-Driven Development

    • Experience with distributed computing and object-oriented design and analysis

    • Understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores

    • Understanding of building data pipelines and analytics pipelines using like dataflow, pubsub, GKE

    • Showcase your ability of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, peer review, and operations

    • Familiarity with Agile (e.g., Scrum Process)

    • Familiarity in Big Data technologies like Hive, Kafka, Hadoop, SQL, developing APIs

    • Familiarity working with GCP or other Cloud platforms such as AWS and Azure

    • High energy and the ability to work in a fast-paced environment with a can-do attitude

    • Enjoys working with many different teams with strong collaboration and communications skills

    • Fast learner and eager to absorb new emerging technologies

    Additional Information

    The Team

    Our engineering team is at the core of our products – 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.

    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 $104000 - $169500. 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 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.