Principal Site Reliability Engineer (Prisma AIRS)

Palo Alto NetworksSanta Clara, CA
44d

About The Position

Palo Alto Networks Prisma AIRS leads the industry in advanced AI Security Capabilities, including Runtime Security, Model Scanning and Red Teaming. As a Site Reliability Engineer, you will be embedded directly in an engineering team, enabling deep collaboration with Software Engineers, AI/ML Researchers, Architects, and Product Managers. You will have a direct and fulfilling impact on the future of AI Security. A Principal Site Reliability Engineer in Prisma AIRS embodies integrity, creativity, and a tireless dedication to continuous improvement. You will have the opportunity to design, build and operate cutting edge cloud-native applications from the ground up at massive scale. We're looking for resourceful and discerning engineers with a diverse technology background and a bias for action who will accelerate the team with creativity, experience and clean code.

Requirements

  • You must be an expert in all things Kubernetes; you have a deep understanding of Kubernetes concepts, experience with building and operating production applications in multi-cluster environments, writing Helm charts from scratch and interacting with the Kubernetes API.
  • You must be an expert in either GCP or AWS, with at least 5 years of experience building and operating production cloud infrastructure at scale.
  • You must have significant Software Engineering / Development experience building applications in Go and/or Python.
  • You should have demonstrated experience in network operations, such as cloud networking, network security, and/or distributed computing systems.
  • You should have demonstrated experience in Linux administration, particularly in the context of cloud-native distributed systems, container runtimes, or Linux server fleets.
  • You should have experience with Relational Databases and SQL; you know how to read, write and refactor SQL queries, identify opportunities for and design secondary indexes, manage database objects such as tables, views, stored procedures, and perform backup/restore operations.
  • You should have experience designing, building and maintaining CI and/or GitOps pipelines for complex multi-application/multi-environment projects.
  • You should have experience in building application observability through Prometheus / OpenTelemetry metrics, Structured Logging or Distributed Tracing systems.

Nice To Haves

  • You may have practical experience in Information Security, such as Cloud / Application / Network Security and are familiar with compliance programs such as SOC2, ISO/IEC 27001, PCI-DSS, FedRAMP or control frameworks such as MITRE ATT&CK, NIST 800-53, OWASP or others.
  • You may have experience with running LLM / Machine Learning Inferencing Servers at scale across heterogeneous multi-GPU cloud environments.

Responsibilities

  • Operate Prisma AIRS Cloud Services through contemporary Reliability Engineering practices.
  • Design, Build, Operate and Secure Cloud-Native Microservice Applications at Global Scale.
  • Own End-to-End Service Delivery in Production - Availability, Performance, Scalability, Security.
  • Partner with Software & ML Engineers to design and build new capabilities and features.
  • Banish toil through automation - from shell scripting to cluster orchestration to dynamic CI pipelines.
  • Gain a deep understanding of how we deliver AI Security; you'll be able troubleshoot end-to-end a production issue from an inbound HTTP request, through the network, webserver, model inferencing, database, down to the hardware layer.

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What This Job Offers

Job Type

Full-time

Career Level

Principal

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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