# Sr Principal DevOps Engineer (Prisma AIRS) at Palo Alto Networks

- Company: Palo Alto Networks
- What the company does: Implement Zero Trust, Secure your Network, Cloud workloads, Hybrid Workforce, Leverage Threat Intelligence & Security Consulting. Cybersecurity Services & Education for CISO’s, Head of Infrastructure, Network Security Engineers, Cloud Architects & SOC Managers. Backed by Greylock, Sequoia and Felicis.
- Company website: https://www.paloaltonetworks.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: Office - USA - CA - Headquarters
- Work setup: On-site
- Posted: 2026-10-16
- Apply by: 2026-11-30
- Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/en-US/panwexternalcareers/job/Office---USA---CA---Headquarters/Sr-Principal-DevOps-Engineer--Prisma-AIRS-_JR-023415?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/palo-alto-networks-sr-principal-devops-engineer-prisma-airs/

## About the role

With Prisma AIRS, Palo Alto Networks is building the world's most comprehensive AI security platform. Organizations are increasingly building complex ecosystems of AI models, applications, and agents, creating dynamic new attack surfaces with risks that traditional security approaches cannot address. In response, Prisma AIRS delivers model security, posture management, AI red teaming, and runtime protection. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 10+ years of professional experience in DevOps, Site Reliability Engineering (SRE), or Cloud Platform Engineering, including designing and operating large-scale cloud infrastructure
- Deep expertise in the cloud-native ecosystem. You have a thorough understanding of Kubernetes in large-scale production environments and are fluent in building automation and platform tooling using modern, typed Python
- Extensive production experience with GitOps and CI/CD: Argo CD and Argo Rollouts for continuous delivery and progressive rollout, and GitLab CI for automating complex software delivery pipelines
- MLOps experience operating GPU-accelerated inference and model-serving infrastructure at scale (Google Vertex AI, Amazon Bedrock, NVIDIA Triton Inference Server)
- Advanced MLOps: data/feature pipelines, model serving (KServe/Seldon), ML security and governance, and LLMOps (RAG, eval, guardrails)
- Languages and core tooling: Python (modern, typed), Go (highly desired), BASH, rego


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/palo-alto-networks-sr-principal-devops-engineer-prisma-airs/