Senior IT Software Engineer

Palo Alto Networks

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$106,000–$170,500 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $161k
This role $138k
$94k $214k
below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $141,500–$180,062 — the blue band above. At the midpoint, this role pays about $138k versus about $161k 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 56 open roles on FindRole.

Listed pay typically runs $159,100–$257,400 across 52 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Senior IT Software Engineer

The Sr IT Software Engineer joins the Data & Analytics team to design, build, and support full-stack applications while integrating AI technologies into new business solutions. This role involves championing AI tooling and the AI SDLC using spec-based development and harness engineering. You will develop scalable services, evolve core architecture, and manage the transition into AI-native engineering. Key responsibilities include building agentic workflows, managing CI/CD pipeline deployments, and providing production support. You will utilize Python, Django, FastAPI, React, GraphQL, and Google Cloud Platform. Technical requirements include experience with LangChain, LangGraph, Vertex AI, RAG architectures, vector databases, Docker, and Kubernetes. You will solve complex problems by implementing LLM guardrails, prompt engineering, and A2A protocols to ensure resilient, enterprise-grade software performance across microservices and autonomous services.

What you'll do

  • Design, develop, test, and deploy full-stack applications across front-end, back-end, and data layers.
  • Build end-to-end agentic workflows including orchestration, tool integration, and production monitoring using Vertex AI or LangChain.
  • Implement AI-SDLC methodologies using AI-assisted coding, testing, and review tools to improve engineering velocity.
  • Architect and maintain scalable microservice architectures using Python, Django, FastAPI, and Google Cloud Platform.
  • Own the full feature lifecycle from initial architecture and implementation to deployment and production support.
  • Troubleshoot and resolve production issues to ensure high availability and application performance.
  • Develop RAG architectures incorporating vector embeddings, semantic search, and LLM guardrails.
  • Manage CI/CD pipeline deployments and contribute to engineering best practices and documentation.

What we're looking for

  • Bachelor's degree and at least 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
  • Professional backend development experience with Python using frameworks like Django or FastAPI to build fault-tolerant microservice architectures.
  • Professional experience deploying, maintaining, and optimizing Generative AI or LLM-powered applications in production.
  • Hands-on experience with LLM orchestration and agentic frameworks such as LangChain, LangGraph, or native cloud Agent SDKs.
  • Technical understanding and hands-on experience with Retrieval-Augmented Generation (RAG) architectures, vector embeddings, and vector databases.
  • Demonstrated expertise in frontend development with JavaScript, TypeScript, and React.
  • Strong proficiency in containerization and orchestration using Docker and Kubernetes (GKE).
  • Experience with cloud platforms (AWS, Azure, or GCP) and modern CI/CD practices.

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