Implementing comprehensive monitoring systems, metrics collection, and observability practices to maintain system visibility and health.

Defining, measuring, and managing SLOs, SLIs, and error budgets to balance reliability with feature velocity and business needs.

Leading incident response procedures, conducting post-mortems, and implementing improvements to prevent future outages and reduce MTTR.

Analyzing system performance, predicting resource needs, and implementing auto-scaling solutions to handle traffic growth efficiently.

Building and maintaining automation tools, runbooks, and self-healing systems to reduce toil and improve operational efficiency.

Deep knowledge of cloud services, distributed systems architecture, and cloud-native technologies for reliable system design.

Understanding distributed system patterns, fault tolerance, consistency models, and designing resilient architectures at scale.

Advanced problem-solving skills for complex system issues, using debugging tools, log analysis, and systematic investigation methods.

Optimizing system performance, conducting load testing, analyzing bottlenecks, and implementing performance improvements.

Working closely with development teams, managing technical risks, and balancing reliability requirements with business objectives.