Site Reliability Engineer III

** - 8+ years of hands-on experience in Site Reliability Engineering, DevOps, or large-scale production operations. - Advanced expertise in AWS, Terraform, Python, Linux systems, and distributed systems. - Proven technical leadership experience driving large, cross-team reliability or infrastructure initiatives. - Practical experience designing or implementing AI/ML-driven automation in operations or platform engineering. At Zuora, you will be part of a dynamic and inclusive workplace that encourages different perspectives and contributions. As a ZEO (Zuora Employee Owner), you will have access to competitive compensation, medical insurance, generous time off, learning & development stipend, and opportunities to give back to the community. Zuora is an Equal Opportunity Employer committed to creating a diverse and inclusive environment for all. Please note that specific benefits offerings may vary by country. Zuora supports flexible work arrangements, allowing employees to work remotely or at Zuora offices based on their role requirements. Our commitment to an inclusive workplace ensures that everyone feels valued and empowered to make a meaningful impact at Zuora. As a Senior Site Reliability Engineer at Zuora, you will play a crucial role in advancing the reliability strategy with a focus on AI-driven automation and intelligent operations. Your responsibilities will include: - **Reliability Architecture & Platform Strategy:** - Own and evolve the reliability architecture of large-scale, distributed SaaS systems by defining SLOs, SLIs, error budgets, and resilience patterns aligned with business objectives. - Drive system-level improvements across services and regions, proactively identifying architectural risks, capacity constraints, and failure modes. - Influence platform and application design to enhance long-term reliability and operability. - **AI-Driven Automation & Intelligent Operations:** - Design, build, and operationalize AI-powered automation to reduce operational toil and enhance system stability. - Apply AI and machine learning techniques to incident detection, anomaly identification, root cause analysis, auto-remediation, and capacity forecasting. - **Advanced Cloud & Infrastructure Engineering:** - Lead the design and operation of complex AWS-based infrastructure and Kubernetes platforms. - Optimize for availability, security, and cost efficiency using Infrastructure-as-Code patterns with Terraform. - **Incident Leadership & Operational Excellence:** - Act as a technical leader during high-severity production incidents, driving structured response, decision-making, and recovery. - Establish intelligent incident response mechanisms using automation, AI-assisted diagnostics, and enriched runbooks. - **Technical Leadership & Cross-Functional Influence:** - Partner closely with Engineering, Product, and Security stakeholders to influence reliability outcomes. - Provide technical mentorship and guide best practices adoption to drive new reliability standards and tooling strategies. **Q