Key Responsibilities
Implement and lead post-mortem processes within SLAs, identify root causes, and drive corrective actions.
Rapidly diagnose and resolve failures across Kubernetes, Terraform, and AWS using advanced troubleshooting frameworks.
Implement automation and enhanced monitoring to proactively detect issues and reduce incident frequency.
Collaborate with AWS and GCP TAMs and other vendors to request new features or updates.
Coach and elevate SRE and DevOps team members, promoting best practices in reliability.
Establish and maintain a problem backlog, ensuring timely resolution and continuous process improvement.
Envision and drive how a modern SRE team should operate by leveraging AI/ML technologies.
Qualifications
Required Qualifications
12+ years of experience in SRE, DevOps, or Cloud Infrastructure, with at least 5 years leading engineering teams.
Strong hands-on expertise across AWS and GCP, including cloud architecture, infrastructure, networking, security, and production operations.
Deep understanding of Kubernetes (EKS/GKE), Docker, Terraform, and infrastructure automation.
Strong experience with distributed systems, microservices, and databases/streaming platforms such as RDS, Cassandra, Kafka, and MemSQL/SingleStore.
Proficiency in Python or similar scripting languages, CI/CD pipelines, and automation frameworks.
Strong expertise in observability across metrics, logs, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry.
Proven ability to lead high-severity incidents, drive root-cause analysis, eliminate recurring issues, and improve service reliability.
Strong understanding of SLI, SLO, SLA, capacity planning, scalability, resilience, and disaster recovery.
Experience driving operational excellence through automation, toil reduction, and continuous improvement.
Ability to collaborate across Engineering, Product, and Security teams, influence technical decisions, and communicate effectively with stakeholders.
Strong understanding of BigQuery, including query optimization, workload management, performance tuning, and cost optimization.
Experience with GCP FinOps, including cloud cost monitoring, cost attribution, budgeting, anomaly detection, resource rightsizing, and cloud spend optimization.
Demonstrated interest in applying AI/ML to incident management, predictive analytics, and next-generation SRE practices.
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
