Performance Engineer

Key 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 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
Orchestrators: 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 performance
Storage: Latency IOPS constraints distributed file system behavior
Caching & Middleware: Redis Hazelcast NATS Kafka RabbitMQ configuration and throughput tuning
Databases: Connection pool tuning slow queries indexing replication lag
Cloud Layer: AWS compute/storage/network performance regional latency cross-cloud traffic patterns