Senior Principal Engineer, Scaled Data & Analytics Platform

Palo Alto Networks, Inc.

Santa Clara (CA)

On-site

USD 147,000 - 238,000

Full time

14 days+
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Job summary

Palo Alto Networks, Inc. is seeking an experienced software engineer to help build and scale data processing and analytics systems for security operations. You will contribute to architecture, design and development of features, and tackle pipeline scaling challenges.

The role emphasizes building enterprise-grade applications with Java and distributed systems, in a fast-paced environment, with collaboration across DevOps and Support teams. Office-based with flexible arrangements may apply.

Qualifications

  • Must have 5+ years of hands-on experience in building large enterprise applications.
  • 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.

Responsibilities

  • Tackle new and challenging problems by building a new generation of highly scaled data processing and analytics systems.
  • Contribute in architecture, design and development of features.
  • Solve complex problems in pipeline scaling and data storage to facilitate dashboards.
  • Suggest and implement improvements to the development processes.
  • Work with DevOps and Technical Support teams to investigate and resolve critical customer defects.

Skills

Java
Distributed systems
Design patterns
Communication

Tools

SQL Databases
NoSQL Databases
Time Series DB
GraphDB
AWS
GCP
Kubernetes
Linux

Job description

Palo Alto Networks, Inc. is seeking an experienced software engineer to help build and scale data processing and analytics systems for security operations. You will contribute to architecture, design and development of features, and tackle pipeline scaling challenges.

The role emphasizes building enterprise-grade applications with Java and distributed systems, in a fast-paced environment, with collaboration across DevOps and Support teams. Office-based with flexible arrangements may apply.

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