Senior Performance Engineer

  • Saint Louis, MO
  • Posted 1 day ago | Updated 1 day ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

AppDynamics
Batch Testing
Database
Dynatrace
GitLab
Grafana
Health Care
Jenkins
Kibana
Kubernetes
Message Queues
Microservices
Network
Optimization
Performance Engineering
Performance Monitoring
Performance Testing
Performance Tuning
Query Optimization
ROOT
Splunk
Test Scenarios
Test Scripts
UI

Job Details

W2 Role

Hybrid Role

Senior Performance Engineer

Saint Louis, MO

12+ Months Contract

Position Type-W2 Only

Exp Level- 6+ Years

Req Skills- Batch Performance testing & Neo Load, Dynatrace, Database Query tuning / Optimization and PODs scaling, troubleshooting, performance, bottlenecks, analyzing the root causes, code level analysis, AppDynamics, Dynatrace, Datadog, Grafana, Kibana, Splunk, Claims Processing, Batch testing, Jenkins/Gitlab, test scripts, test scenarios

What are the top 3 skills required for this role?

  • Batch Performance testing & Neo load, Dynatrace
  • Database Query tuning / optimization and PODs scaling.
  • Expertise in troubleshooting and identifying performance bottlenecks, analyzing the root causes, code level analysis and recommending corrective actions to tune the applications.

Job Description:

  • Must have experience in Performance engineering such as Code Profiling, Database Query tuning / optimization and PODs scaling
  • Expertise in troubleshooting and identifying performance bottlenecks, analyzing the root causes, code level analysis and recommending corrective actions to tune the applications.
  • Expert in identifying performance bottlenecks at various layers like UI, App, DB, network, message queues etc.
  • Strong hands-on experience in various Application performance monitoring tools including AppDynamics, Dynatrace, Datadog, Grafana, Kibana, Splunk.
  • Having experience in Healthcare domain is must especially having experience in Claims Processing
  • Experience in performance tuning of microservices pods on Kubernetes platform and Batch testing
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