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
Qualifications
Required Qualifications
Minimum 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.
$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.
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 accommodations@paloaltonetworks.com.
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.
