• Own Reliability at Scale • Lead design, implementation, and evolution of reliability, availability, and resiliency strategies for large-scale distributed systems • Identify systemic risks in application architecture, data flows, and infrastructure • Drive operational excellence by preventing, detecting, and mitigating incidents • Apply advanced software engineering practices to eliminate manual work and improve system observability • Partner with product engineers and engineering leadership to ensure reliability in system design • Contribute to longer-term reliability and infrastructure strategy aligned with business growth

• Design, implement, and maintain observability solutions across Azure (e.g., Azure Monitor, Grafana-Prometheus, Dynatrace, Elastic). • Define and standardize SLIs/SLOs/SLAs to measure service health and customer experience. • Develop dashboards and automated alerting to proactively identify service degradations. • Build and maintain on-call runbooks and playbooks to reduce time-to-resolution. • Drive post-incident “blameless” retrospectives and continuous improvement initiatives. • Develop automation for self-healing systems, monitoring remediation, and incident mitigation. • Contribute to disaster recovery and business continuity planning across multi-cloud platforms. • Work with engineering teams to design for resiliency, scalability, and reliability from the ground up. • Partner with security, network, and system engineering teams to ensure observability integrates with compliance and governance frameworks. • Advocate for best practices in cloud-native reliability engineering. • Mentor engineering staff in observability tools, monitoring strategies, and incident management.

• Assist in the design and implementation of Infrastructure as Code, automated environment provisioning, and automated deployment and monitoring of multiple environments. • Pair with development and QA teams to enable a continuous integration environment that sustains high productivity levels and emphasizes defect prevention techniques. • Participate in a 24/7 on-call rotation. • Automate and optimize processes to reduce toil and perform sensitive tasks safely and reliably in secure environments. • Work with cross-functional business teams to understand requirements and other performance SLOs and SLAs. • Thoroughly document operational practices and procedures. • Troubleshoot and resolve issues in development, test and production environments. • Identify gaps in processes and help to close them. • Participate in other projects and duties as assigned.

• Conduct training for engineering teams • Troubleshoot issues in systems • Enable automation of configuration management • Recommend software deployment strategies • Build and optimize automation systems • Support implementation of infrastructure solutions • Conduct research and implement metrics collection systems