Sr Staff Software Engineer
- Location
- Office, CA
- Listed
- Today
Job Summary
The Team
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.
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
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.
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.
Pay and benefits
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.
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.
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.
Equal opportunity and legal notices
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.
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.
From Palo Alto Networks's careers page, first listed on Rolev.ai on November 15, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Sr Staff Software Engineer role at Palo Alto Networks, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
All Software Engineer jobs- Sr Staff EngineerLattice Semiconductor · San Jose, CA
- Sr Staff Engineer PropulsionNgc · United States-Utah-Clearfield
- Sr Staff / Senior Front End Software EngineerSciTec · Boulder, CO · $127k – $193k/yr
- Sr Staff Product Support (R5912)Shield Ai · Dallas, TX
- Sr Staff Software Engineer, Stream IntegrationsCribl · Remote -
- Sr Staff Tech Lead, Machine Learning Engineer, PerceptionWaymo · Mountain View, CA
Common questions
Where is the Sr Staff Software Engineer job at Palo Alto Networks located?
This Sr Staff Software Engineer position at Palo Alto Networks is located in Office, CA. Always check Palo Alto Networks's application page for specific state eligibility or relocation policies.
How do I apply for the Sr Staff Software Engineer position at Palo Alto Networks?
This listing links directly to Palo Alto Networks's Workday application page. You can apply directly on Palo Alto Networks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.