Cloud & Infrastructure Topics
Cloud platform services, infrastructure architecture, Infrastructure as Code, environment provisioning, and infrastructure operations. Covers cloud service selection, infrastructure provisioning patterns, container orchestration (Kubernetes), multi-cloud and hybrid architectures, infrastructure cost optimization, and cloud platform operations. For CI/CD pipeline and deployment automation, see DevOps & Release Engineering. For cloud security implementation, see Security Engineering & Operations. For data infrastructure design, see Data Engineering & Analytics Infrastructure.
Your SRE Background and Experience
Articulate your hands-on experience with systems administration, monitoring tools, automation scripts, and any incident response involvement. Be specific about technologies (e.g., Prometheus, Grafana, Kubernetes, Docker, Terraform) and concrete examples of what you've built or fixed.
Network Performance and Latency Optimization
Network level performance considerations including bandwidth, latency, jitter, packet loss, quality of service, congestion management, and capacity planning. Techniques covered include request batching, compression, connection pooling, content delivery networks, edge caching, and transport level tuning. Candidates should also discuss measurement and monitoring of network metrics, trade offs for global user bases, and strategies to optimize tail latency for latency sensitive services.
Cost Optimization for Mobile Services
Strategies to reduce both operational and user facing costs while maintaining acceptable user experience. Topics include minimizing network payloads and request frequency, efficient caching and cache invalidation, content delivery network strategies, client side compression and bundling, trade offs between offline support and server calls, right sizing backend compute and storage, pricing and quota considerations, telemetry for cost monitoring, and approaches to detect and mitigate cost anomalies.