Sr Staff Software Engineer

Jobs Paloaltonetworks; United States; On-site; USD 145,000 - 236,000; Full time

Job summary

Palo Alto Networks is seeking an AI‑Native Cloud FinOps Engineer to build intelligent pipelines and autonomous optimization for cloud spend across AWS, Azure, and GCP. You will shift to AI‑driven, self‑optimizing architectures, focusing on AI/ML compute infra and multi‑cloud cost control.

You will bridge deep systems engineering with ML, creating closed‑loop automation and telemetry platforms to detect waste and save costs. This role requires onsite Bay Area presence and strong FinOps expertise.

Qualifications

• 8+ years of experience in Software/Cloud Engineering or related fields.
• 2+ years building software tools or AI/ML integrations for cloud resource management.
• Strong Python, ReAct, and TypeScript/Node.js foundations.
• Experience interfacing with LLM APIs, vector databases, and agent frameworks.
• Deep understanding of AI/ML cost drivers and FinOps principles.
• Hands-on experience with AWS, GCP, and Azure FinOps APIs.
• Proficiency with Terraform and Pulumi for IaC; CI/CD tooling.
• Must be local to Bay Area and onsite.

Responsibilities

• Engineer autonomous systems to inspect, govern, and optimize high‑cost AI/ML workloads.
• Manage GPU cluster provisioning, model batching, and unit economics tracking.
• Develop closed‑loop software that converts optimizations into realized savings across clouds.
• Build IaC pipelines with Terraform and Pulumi with real‑time cost checks.
• Train and deploy ML models to analyze real‑time usage and detect spend anomalies.
• Advance FinOps maturity by building telemetry platforms to measure unit economics.
• Design internal AI agents to analyze infra state and submit pre‑validated PRs.

Skills

Python

ReAct

TypeScript/Node.js

LLM APIs

FinOps concepts

CI/CD

Tools

Terraform

Pulumi

Kubernetes

Kubecost/OpenCost

Job description

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real‑world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real‑time problem‑solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

The Team

Information Technology - Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity.

As an AI-Native Cloud FinOps Engineer, you will build intelligent pipelines and autonomous optimization systems that control our cloud spend across AWS, Azure, and GCP. Shifting from passive financial monitoring to AI‑driven, self‑optimizing architectures, you will focus heavily on AI/ML compute infrastructure like GPUs and LLM pipelines. You will bridge the gap between deep systems engineering, machine learning, and multi‑cloud financial operations to detect waste. Treating cloud efficiency as a continuous software feature, you will leverage AI to convert potential optimizations into automated savings.

Key Responsibilities

• Engineer autonomous systems using LangChain, ADK to inspect, govern, and optimize high‑cost AI/ML workloads.
• Programmatically manage GPU cluster provisioning, optimize model batching, and track per‑token unit economics.
• Write closed‑loop software systems that automatically convert detected optimization opportunities into executed savings across clouds.
• Build infrastructure‑as‑code pipelines using Terraform and Pulumi embedded with real‑time cost‑compilation checks.
• Train and deploy predictive machine learning models to analyze real‑time usage telemetry and detect spend anomalies.
• Lead the technical evolution of our FinOps maturity curve by building telemetry platforms to measure unit economics.
• Design internal AI agents that continuously analyze infrastructure state, detect waste, and submit pre‑validated Pull Requests.

Qualifications

Required Qualifications

• 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.
• Proven track record of architecting and maintaining closed‑loop automation tools in multi‑cloud environments.
• Must be local to Bay area to be onsite.

Preferred Qualifications

• Experience with Kubernetes cost allocation using tools like Kubecost or OpenCost.
• Proficiency with big‑data querying tools like SQL, BigQuery, or Snowflake to process billing exports.
• Ability to partner with AI/ML Engineers, Product Leaders, and FP&A to align infrastructure strategies with financial goals.
• A software‑first, agentic problem‑solving mindset focused on writing self‑healing systems.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non‑sales roles) or base salary + commission target (for sales/com‑missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$145,000.00 - $235,500.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [e-mail].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.