Senior Performance Engineer

Define service-level objectives (SLOs), performance budgets, and latency/throughput targets across services. Architect and champion comprehensive distributed tracing strategies (Dynatrace, AWS X-Ray, etc.). Analyse application, platform, and cloud behaviour using deep-dive techniques such as heap dumps, thread dumps, flame graphs, GC logs, network traces, and storage I/O profiling. Review service and system architectures for performance risks (e.g., synchronous hops, excessive dependencies, misconfigured connection pools, poor cache placement). Conduct and lead root-cause analysis for performance incidents in production and pre-production environments. Develop capacity models and performance baselines for services running across cloud environments. Areas of Expertise Application Layer: Spring Boot internals, JVM tuning, thread/heap management, concurrency debugging, GC optimization Container Runtime: PCF, Docker, container resource limits, CPU throttling, memory pressure Networking: Service-to-service hops, TLS overhead, DNS, routing, load balancer configs (F5, Nginx, ALB/NLB), service mesh performance Storage: Latency, IOPS constraints, distributed file system behaviour Caching & Middleware: Redis, Hazelcast, NATS, Kafka, RabbitMQ configuration and throughput tuning Cloud Layer: AWS compute/storage/network performance, regional latency, cross-cloud traffic patterns #J-18808-Ljbffr