Performance Tester with Java Exp Realign LLC St. Louis, MO Job Details Full-time $95,718 a year 14 hours ago Qualifications Index optimization Containerization systems Spring Boot Server optimization Defect resolution root cause analysis Load balancers Defect analysis Systems architecture experience within technology System performance optimization Amazon ECS System design TLS Performance testing Data caching Elastic Load Balancing Redis RabbitMQ Dynatrace DNS Network performance optimization In-memory caching Cloud load balancing Problem management Network routing Kafka Capacity planning System tuning Senior level Cloud monitoring Multithreading Full Job Description St. Louis, Missouri 63101 Posted September 18th, 2026

Job Type:

Full Time Job Category:

IT Job Description Role - Performance Tester with Java Exp Location - St. Louis, MO (On-site)

FTE 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.). 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

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 behaviour

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 Required Skills JAVA Developer