Java Performance Tester :: St. Louis, MO :: Contract

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Abhishek Tyagi

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Oct 21, 2026, 1:10:20 PM (13 hours ago) Oct 21
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Hello,

 

Hope you are doing well!

 

This is Abhishek Tyagi (Sr. Talent Acquisition Specialist) associated with Tekishub Consulting.

Please find the detailed job descriptions below for your reference. Kindly review the requirements and share suitable consultants with strong hands-on experience in the respective technology.

 

Along with the updated resume, please share:

•               Contact number

•               Current location

•               Work authorization

•               LinkedIn address

•               Rate expectation

•               Availability for interview/joining

 

Title: Java Performance Tester
Location: St. Louis, MO
Duration: Contract

           

Job Description:

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

 

Thanks and Regards,

Abhishek Tyagi

Senior Talent Acquisition Specialist


 

Jehanzab Zafar

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Oct 21, 2026, 2:18:12 PM (12 hours ago) Oct 21
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