Performance Engineer

Title: Performance EngineerLocation: St. Louis, MO (Onsite)Interview Mode: Final round F2FKey Responsibilities: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.).Analyze application, platform, and cloud behavior 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 ExpertiseApplication Layer: Spring Boot internals, JVM tuning, thread/heap management, concurrency debugging, GC optimizationContainer Runtime: PCF, Docker, container resource limits, CPU throttling, memory pressureOrchestrators: PCF, Kubernetes, ECS (autoscaling, pod health, scheduling issues)Networking: Service-to-service hops, TLS overhead, DNS, routing, load balancer configs (F5, Nginx, ALB/NLB), service mesh performanceStorage: Latency, IOPS constraints, distributed file system behaviorCaching & Middleware: Redis, Hazelcast, NATS, Kafka, RabbitMQ configuration and throughput tuningDatabases: Connection pool tuning, slow queries, indexing, replication lagCloud Layer: AWS compute/storage/network performance, regional latency, cross-cloud traffic patterns