Web Development Engineer

Palo Alto Networks

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$175,400–$283,800 / yr
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $167k
This role $230k
$114k $302k
below market most similar roles pay here above market

This role pays more than 89% of similar roles. Most pay $136,500–$198,275 — the blue band above. At the midpoint, this role pays about $230k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 51 open roles on FindRole.

Listed pay typically runs $159,100–$257,400 across 47 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Web Development Engineer

The Web Development Engineer joins the Digital Experience Marketing organization to drive automation into web production and digital experience optimization. This role involves designing and deploying AI-powered solutions to improve website development efficiency, accelerate content production, and enhance marketing performance. You will build tools for front-end and back-end development, integrate LLM-based coding assistants, and develop RAG-based solutions for enterprise knowledge retrieval. Key responsibilities include automating content ingestion, metadata generation, and localization while ensuring security and brand consistency. Required technologies include Python, JavaScript, TypeScript, React, Node.js, and REST APIs. You must possess expertise in Generative AI, LLMs, prompt engineering, and RAG architectures. The role solves the business problem of transforming manual, execution-heavy web operations into an intelligent, automated, and data-driven operating model for enterprise marketing experiences.

What you'll do

  • Design and implement AI-powered tools to accelerate front-end and back-end web development, code generation, and refactoring.
  • Integrate LLM-based coding assistants and agentic workflows into existing software development lifecycle processes.
  • Build RAG-based solutions to retrieve information from enterprise knowledge bases, brand guidelines, and technical standards.
  • Develop AI-driven automation to streamline web production tasks like content ingestion, metadata generation, and publishing workflows.
  • Create AI-powered capabilities for website personalization, audience segmentation, and SEO-driven content discoverability.
  • Apply MLOps and LLMOps principles to manage model evaluation, prompt versioning, monitoring, and lifecycle management.
  • Design scalable, production-ready AI applications that meet enterprise standards for security, maintainability, and brand consistency.
  • Translate business requirements into technical prototypes and production implementations for digital experience marketing.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • Approximately 10+ years of experience in software engineering, application development, AI engineering, or related technical roles.
  • Demonstrable hands-on experience in AI application development, including LLMs, Generative AI APIs, prompt engineering, embeddings, vector search, and RAG architectures.
  • Strong proficiency in Python for building production-grade applications, services, and integrations.
  • Experience with JavaScript or TypeScript and modern web technologies such as React, Next.js, or Node.js.
  • Experience with Git, automated testing, CI/CD pipelines, containerization, and cloud-based application deployment.
  • Experience with enterprise CMS, marketing technology platforms, or digital experience platforms (preferred).
  • Familiarity with agentic AI frameworks, vector databases, and cloud AI services on AWS, Azure, or GCP (preferred).

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