Senior Manager, Site Reliability Engineering (Global)
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Job description
We are looking for a visionary Senior Manager of Site Reliability Engineering to lead our global SRE organization across the US, India, and Israel. This isnât just a âkeep the lights onâ role; you will be the primary architect of our AIOps transformation at Palo Alto Networks. You will bridge the gap between infrastructure products and operational excellence, gathering complex requirements from product teams and translating them into automated, intelligent platform capabilities to ensure our systems are not just reliable, but self-healing., * Directly manage and scale a high-performing, multi-geographical SRE team (US, India, and Israel), fostering a culture of psychological safety, continuous learning, and âoperational pride.â
- Standardize SRE practices globally while respecting local nuances, ensuring 24/7 coverage models (Follow-the-Sun) are seamless and burnout-resistant.
- Manage the financial aspects of global headcount and cloud infrastructure spend.
- Drive the AIOps Roadmap: Transition the organization from reactive monitoring to proactive, AI-driven observability and incident remediation using machine learning to reduce Mean Time to Recovery (MTTR).
- Act as the lead consultant for infrastructure product teams to define what âreliabilityâ looks like for next-gen AI services.
- Partner with the Platform Engineering team to build and internalize âGolden Pathsâ that bake in SLOs, error budgets, and automated canary analysis.
- Work hand-in-hand with InfoSec and Compliance to automate guardrails (Policy-as-Code) and ensure global data sovereignty requirements are met. Influence R&D leadership to prioritize non-functional requirements and technical debt reduction. Required Qualifications
Requirements
Your Experience
- 10+ years in Infrastructure, SRE, or DevOps environments.
- 5+ years managing global teams of 15+ engineers across multiple time zones.
- Deep understanding of Kubernetes, Cloud Native ecosystems (AWS/GCP/Azure), and CI/CD pipelines.
- Proven track record of implementing ML-driven monitoring (e.g., anomaly detection, automated root cause analysis).
- Exceptional ability to translate âdeep techâ into business value for C-suite stakeholders.
Benefits & conditions
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here (https://benefits.paloaltonetworks.com/) .
$158,300.00 - $256,025.00/yr
Our Commitment
Weâre trailblazers that dream big, take risks, and challenge cybersecurityâs status quo. Itâs simple: we canât accomplish our mission without diverse teams innovating, together.
About the company
At Palo Alto NetworksÂŽ, weâre united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If youâre ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youâre in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thatâs why most of our teams work from the office full time, with flexibility when itâs needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
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