Senior Staff DevOps Engineer: Cloud Reliability & Automation

Jobs Paloaltonetworks; California; On-site; USD 133,000 - 215,000; Full time

Job summary

Palo Alto Networks is seeking a Senior Staff DevOps Engineer to join the Cortex Production Engineering team. You will ensure reliability, scalability, and operational efficiency of a large-scale cloud platform, working hands-on with production systems while guiding infrastructure and automation initiatives.

Collaborate with engineering teams to improve architecture, build self-healing automation, and mentor engineers, raising the technical bar across the organization.

Qualifications

• 8+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, Cloud Infrastructure, or related areas.
• Strong hands-on experience operating large-scale production environments.
• Deep knowledge of Kubernetes, containers, and cloud-native architectures.
• Strong experience with public cloud platforms, preferably Google Cloud Platform (GCP).
• Experience with Infrastructure as Code and automation technologies such as Terraform, Python, and GitOps.
• Strong understanding of CI/CD systems and modern software delivery practices.
• Experience with observability technologies such as Prometheus, Grafana, Thanos, OpenTelemetry, or similar platforms.
• Strong troubleshooting skills across Kubernetes, Linux, networking, cloud infrastructure, and distributed systems.
• Experience designing and operating highly available, scalable, and resilient production systems.
• Strong understanding of incident management, monitoring, alerting, SLIs/SLOs, and reliability engineering practices.
• Demonstrated ability to independently lead complex technical projects involving multiple engineering teams.
• Strong communication skills with the ability to explain technical decisions, influence stakeholders, and mentor engineers

Responsibilities

• Design, build, and operate highly available and scalable cloud infrastructure supporting Cortex services.
• Lead complex DevOps, infrastructure, reliability, and automation initiatives from design through production implementation.
• Troubleshoot complex production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed systems.
• Improve platform reliability through better monitoring, alerting, observability, capacity management, and operational practices.
• Build automation and self-healing capabilities that reduce manual operational work and improve incident response.
• Partner with application and platform engineering teams to improve production readiness, scalability, and service architecture.
• Participate in and provide technical leadership during high-severity production incidents, including root cause analysis and corrective actions.
• Design and improve Infrastructure as Code, CI/CD, and GitOps-based deployment and infrastructure management.
• Identify recurring operational problems and drive engineering solutions that permanently eliminate or reduce them.
• Mentor engineers, provide technical guidance, conduct design reviews, and help establish engineering best practices.
• Influence technical decisions across teams and drive adoption of scalable and reliable engineering solutions.
• Evaluate emerging technologies, including AI-assisted operations and automation, that can improve engineering productivity and operational efficiency.

Skills

Kubernetes

Cloud infrastructure

Terraform

Python

CI/CD

GitOps

Monitoring

Linux

Incident management

Leadership

Tools

Google Cloud Platform

GKE

Compute Engine

BigQuery

Pub/Sub

OpenTelemetry

Job description

Palo Alto Networks is seeking a Senior Staff DevOps Engineer to join the Cortex Production Engineering team. You will ensure reliability, scalability, and operational efficiency of a large-scale cloud platform, working hands-on with production systems while guiding infrastructure and automation initiatives.

Collaborate with engineering teams to improve architecture, build self-healing automation, and mentor engineers, raising the technical bar across the organization.