Senior Staff Software Engineer

Palo Alto Networks

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$145,000–$235,500 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k
This role $190k
$131k most similar roles pay here $274k

This role pays less than 70% of similar roles. Most pay $177,943–$238,250 — the shaded band above. At the midpoint, this role pays about $190k versus about $208k 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 34 open roles on FindRole.

Listed pay typically runs $159,000–$257,750 across 32 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Senior Staff Software Engineer

As a Sr Staff Software Engineer within the Information Technology team, you will serve as an AI-Native Cloud FinOps Engineer focused on building intelligent pipelines and autonomous optimization systems to manage cloud spend across AWS, Azure, and GCP. You will develop closed-loop software systems that automatically convert detected waste into savings, specifically targeting high-cost AI/ML workloads like GPU clusters and LLM pipelines. Your daily work involves engineering autonomous systems using LangChain and ADK, managing infrastructure-as-code via Terraform and Pulumi, and deploying predictive machine learning models to analyze usage telemetry. You will utilize Python, ReAct, and TypeScript/Node.js while interacting with LLM APIs, vector databases, and agentic frameworks. The role addresses the technical challenge of transitioning from passive financial monitoring to automated, self-optimizing multi-cloud architectures to manage complex infrastructure costs and unit economics.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

What you'll do

  • Build autonomous systems using LangChain and ADK to govern and optimize high-cost AI/ML workloads.
  • Programmatically manage GPU cluster provisioning, model batching, and per-token unit economics across multi-cloud environments.
  • Develop closed-loop software systems that automatically convert detected cost optimizations into executed savings.
  • Create infrastructure-as-code pipelines using Terraform and Pulumi with integrated real-time cost-compilation checks.
  • Train and deploy predictive machine learning models to analyze usage telemetry and detect spend anomalies.
  • Build telemetry platforms to measure unit economics and advance the organization's FinOps maturity.
  • Design internal AI agents to analyze infrastructure state, identify waste, and submit pre-validated Pull Requests.

What we're looking for

  • 8+ years of experience in Software Engineering, Cloud Engineering, SRE, or Cloud FinOps teams.
  • 2+ years of hands-on experience building software tools or AI/ML integrations for cloud resource management.
  • Strong software engineering fundamentals in Python, ReAct, and TypeScript/Node.js.
  • Practical experience interfacing with LLM APIs, vector databases, and agentic frameworks.
  • Deep understanding of the architectural and financial cost drivers of AI/ML workloads.
  • Hands-on programmatic experience interacting with FinOps APIs across AWS, GCP, and Azure.
  • Mastery of IaC tools like Terraform and Pulumi combined with CI/CD engine experience.
  • Must be local to the Bay Area to work onsite.
  • Experience with Kubernetes cost allocation using tools like Kubecost or OpenCost (preferred).
  • Proficiency with big-data querying tools like SQL, BigQuery, or Snowflake (preferred).

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