• Lead SRE team initiatives focused on system reliability, automation, and operational excellence. • Architect and implement solutions to enhance availability, performance, and scalability of cloud and on-premises services. • Oversee incident management processes, ensuring timely response and thorough root cause analysis. • Develop and refine monitoring, alerting, and reporting frameworks; ensure actionable insights for service health. • Guide adoption of Infrastructure as Code (IaC) and CI/CD pipelines to streamline deployments and reduce risk. • Collaborate with software engineering and product teams to integrate reliability requirements into design and development. • Mentor engineers on SRE principles, fostering a culture of continuous improvement and operational rigor. • Establish service level objectives (SLOs), service level indicators (SLIs), and error budgets in partnership with stakeholders. • Manage on-call rotations, ensuring effective coverage and knowledge sharing. • Document architectural decisions, operational procedures, and incident retrospectives. • Operational Excellence for AI Systems – Identifying AI/ML Use Cases, Influence and implement SRE best practices including SLIs/SLOs for ML workloads, automated remediation, capacity modeling. • Observability & Monitoring for ML - Define and implement monitoring strategies for model drift, data anomalies, pipeline failures, system performance, and user experience. • Proactive risk identification and mitigation during deployments to ensure system stability. • Ensure long-term stability through Technical Debt Maintaining observability and performance of critical pharmacy applications. • Supporting timely restoration of services during outages, with 24/7 coverage to meet enterprise Service Level Agreements (SLAs). • Driving incident response and root cause analysis to prevent recurrence and improve system resilience.