Sr Staff Software Engineer

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

Job Summary

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.

• 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

Note- Company is currently not considering applicants who require visa sponsorship (including new H-1B petitions) or individuals currently in OPT/CPT status who will require future sponsorship to maintain work authorization.

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.

• 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.

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 [https://benefits.paloaltonetworks.com/].

$153,700.00 - $248,600.00/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.

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.

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.

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