Principal Software Engineer, Go-To-Market (GTM) and CX Products

Palo Alto Networks

Hybrid Actively hiring Posted today Verified listing
Santa Clara, CA Posted 1 day ago $167,000$270,500 / year

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $219k
$148k most similar roles pay here $284k

This role pays more than 64% of similar roles. Most pay $166,100–$234,700 — the shaded band above. At the midpoint, this role pays about $219k versus about $200k for comparable roles.

Based on 239 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 31 open roles on FindRole.

Listed pay typically runs $155,000–$251,000 across 29 roles with salary data.

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At a glance

TL;DR

Join our CPQ team as a Principal Software Engineer and lead the development of an AI-driven, secure, and scalable Configure Price and Quote (CPQ) platform in Santa Clara. You will architect and design highly reliable business systems across multiple services, integrating foundational AI/ML workflows to ensure secure technology use. As a technical leader, you’ll establish engineering standards, mentor engineers, and balance security with product stability under go-to-market pressures. Required skills include experience with microservices architecture, Java, Go, CI/CD platforms like Kubernetes and Jenkins, and building applications with LLM APIs such as Google Vertex AI or OpenAI. Familiarity with vector embeddings and prompt engineering best practices is essential for this role that demands deep expertise in object-oriented programming and agile development environments.

What you'll do

  • Lead the technical design and architecture of AI-led, secure, scalable CPQ Platform.
  • Architect and design highly reliable business systems across multiple services and teams.
  • Build and integrate foundational AI/ML workflows for secure and effective GenAI use.
  • Establish evaluation frameworks to measure AI quality and system reliability.
  • Mentor software engineers and challenge them to grow in their discipline.
  • Balance security, product stability, and features against go-to-market pressures.

What we're looking for

  • 10+ years of experience in software development with a degree equivalent.
  • Expertise in designing and developing scalable web applications using microservices architecture.
  • Proficient in server-side software development with Java, Go, or comparable technologies.
  • Deep knowledge of object-oriented programming, data structures, algorithms, and design patterns.
  • Experience building production applications with LLM APIs like Google Vertex AI/OpenAI.
  • Familiarity with vector embeddings, semantic search, and similarity-based retrieval patterns.
  • Understanding of prompt engineering best practices and LLM security considerations.

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