Sr. Staff IT SWE AI

Palo Alto Networks • Office - USA - CA - Headquarters, CA

10d • $145,000 - $235,500 • Onsite

About The Position

As an AI-Native Cloud Software Engineer, you won't just manage environments; you will build the software engines, intelligent pipelines, and autonomous systems that power our cloud presence. We are shifting from rigid configuration management to AI-driven, self-healing software architectures. You will design, develop, and optimize highly available, distributed cloud applications and infrastructure services across AWS, Azure, and GCP. Treating the entire cloud ecosystem as a programmable, AI-orchestrated software entity, you will bridge the gap between deep systems engineering, application development, and LLM-powered systems orchestration.

Requirements

• Strong software engineering fundamentals in TypeScript (Node.js), Go, or Python.
• Experience interfacing with LLM APIs (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock), vector databases, and prompt engineering for systems-level orchestration.
• Deep proficiency in at least two major cloud platforms (AWS, Azure, GCP) with a strong architectural understanding of the third.
• Expert-level knowledge of Kubernetes (CKA preferred) and cloud-native networking.
• Experience building intelligent delivery pipelines using GitHub Actions or GitLab CI, featuring integrated automated testing, security gates, and AI-assisted code reviews.
• Deep understanding of Linux internals, distributed systems architecture, asynchronous programming patterns, and performance tuning.
• 6+ years of experience in Cloud Software Engineering, Site Reliability Engineering (SRE), or Distributed Systems Infrastructure.
• 2+ years of hands-on experience integrating AI tools, LLMs, or predictive analytics into deployment workflows, pipelines, or software platforms.
• Proven track record of architecting and operating large-scale, high-throughput distributed systems.

Nice To Haves

• Agentic Problem-Solving: A mindset that moves past "how do I automate this task?" to "how do I build an autonomous system that solves this permanently?"
• Collaborative AI-First Culture: Ability to partner with Core AI/ML teams to bridge the gap between model deployment and high-availability cloud infrastructure.

Responsibilities

• Architect and maintain scalable cloud systems across AWS, Azure, and GCP using Pulumi, AWS CDK, or Terraform.
• Integrate AI development workflows and custom LLM agents to accelerate safe infrastructure compilation, drift detection, and automated cross-cloud refactoring.
• Engineer custom software utilities, internal services, and autonomous agents using (TypeScript/Node.js, Go, or Python, alongside frameworks like LangChain or CrewAI) to orchestrate complex provisioning, predictive auto-scaling, and closed-loop self-healing systems.
• Leverage predictive machine learning models to analyze multi-cloud spend patterns, autonomously executing real-time resource-optimization strategies via API-driven software actions (e.g., dynamic spot-instance bidding, intelligent right-sizing across AWS, Azure, and GCP).
• Implement next-gen observability frameworks (OpenTelemetry, Prometheus) coupled with AI anomaly detection.
• Embed security directly into the deployment pipeline, utilizing LLMs to automatically audit Cloud IAM policies, scan for vulnerabilities, and generate contextual patches.
• Manage production-grade Kubernetes clusters (EKS, AKS, GKE).
• Optimize resource allocation, cluster auto-scaling, and service meshes using AI-driven traffic routing and predictive capacity planning.
• Act as a tier-3 software escalation engineer for complex distributed systems anomalies.
• Help design and train our internal "On-Call AI Agent" to ingest logs, perform automated Root Cause Analysis (RCA), and submit pre-validated Pull Requests to resolve underlying system defects.

Benefits

• The compensation offered for this position will depend on qualifications, experience, and work location.
• The offered compensation may also include restricted stock units and a bonus.
• A description of our employee benefits may be found here.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed