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Performance tester with java

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Onsite

Performance tester with java

Programmers.io

Performance tester with java

Skills

DockerJavaSpring BootKafkaRedisRabbitMQAWSKubernetes

2 days ago

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Important information


Contract type:

Permanent

Location:

St. Louis, MO, USA

Work mode:

Onsite

Published on:

22 October 2026

What they need


Job Title- Performance Tester with java

Location- St, Louis, MO Onsite

Fulltime/Permanent

Roles and Responsibilities

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

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