Sr Staff Software Engineer
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Key skills for this role
Role Overview
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 Skills for This Role
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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.
- 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.
About Palo Alto Networks
Palo Alto Networks is a cybersecurity company. It develops platforms and services that help organizations protect networks, cloud environments, endpoints and security operations, and it also provides threat intelligence and incident response services.
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