Staff Site Reliability Engineer
Palo Alto Networks, Inc. (company site, opens in a new tab)6–10 yrsBengaluruOn-siteDirect career pageEst. 45–75 LPA
Posted on 17 Sept
Reach people at Palo Alto Networks, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Palo Alto Networks, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and operate large-scale, global cloud production environments focusing on AI-driven observability and autonomous operations.
- Lead architecture, deployment, and management of Kubernetes (GKE) clusters and Kong API Gateway infrastructure, ensuring scalability, security, and performance.
- Develop and implement AI-powered automation for incident diagnostics, self-healing infrastructure, predictive scalability, and enhanced operational workflows.
Minimum Requirements
- 6–10 years of experience in SRE/DevOps roles with production environments at scale.
- Strong hands-on expertise in GCP cloud platform, Kubernetes (GKE), Kong API Gateway, and Terraform infrastructure provisioning.
- Proficiency in Python scripting and automation; deep Linux expertise (RHEL/Ubuntu) including kernel tuning and system internals.
- Work Experience Required: 6–10 years in relevant roles; Immigration Sponsorship: Not available.
Ideal Candidate Profile
- Experienced in leading high-severity incident management (P1/P2) in complex, distributed global applications.
- Demonstrates advanced skills integrating AI/ML and AIOps tools for intelligent infrastructure management and automation.
- Comfortable operating at the intersection of SRE and AI innovation with a focus on autonomous operations, predictive analytics, and AI-assisted incident response.