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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Staff Software Engineer - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $145,000.0 - $235,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, BigQuery, Cloud Computing, Cloud Engineering, Continuous Integration, Python (Programming Language), Machine Learning, Automation of Marketing, Node.Js, Reliability Engineering, Cloud Services, Software Construction, Software Engineering, Software Systems, SQL Databases, TypeScript, Pulumi, Graphics Processing Unit (GPU), Google Cloud, ReactJS, Large Language Models, Snowflake, Multi-Cloud, Kubernetes, Infrastructure Automation Frameworks, Terraform - **Published:** August 25, 2026 - **Apply:** https://dejobs.org/x/x/3D2B9CC3794F4D6CB514115993127C80/job/ ## About the Role * 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. ## Description 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Stop using Node.js like in 2020! 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