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Skills
Analysis Skillsunmatched
Apache JMeterunmatched
Application Integrationunmatched
Automationunmatched
Autoscalingunmatched
Best Practicesunmatched
CPU (Central Processing Unit)unmatched
Cloud Applicationsunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Distributed Computingunmatched
Dockerunmatched
Failoverunmatched
Health Planunmatched
High Availabilityunmatched
Identify Issuesunmatched
Information Technology Consultingunmatched
Infrastructure as a Service (IaaS)unmatched
Javaunmatched
Load Testingunmatched
LoadRunnerunmatched
Memory Hardwareunmatched
Microservicesunmatched
NeoLoadunmatched
Performance Analysisunmatched
Performance Engineeringunmatched
Performance Testingunmatched
Performance Tuning/Optimizationunmatched
Python Programming/Scripting Languageunmatched
Quality Assurance Methodologyunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Splunkunmatched
Startupunmatched
Stress Testingunmatched
Test Plan/Scheduleunmatched
Test Scriptsunmatched
Testingunmatched
Description
Our client, a IT Services and Consulting company, is looking for a Performance Engineer for their Vienna, VA location.
Requirements:
Professional experience as Performance Engineer with good hands-on experience in implementing performance & high availability strategies to optimize the efficiency of applications.
Strong hands-on skills with test script development using Neoload, JMeter & LoadRunner. Experience in executing performance tests (load/stress/endurance) using Neoload/JMeter/LoadRunner and performance monitoring using APM tools to identify performance issues
Hands-on experience in APM tools like Dynatrace & AppDynamics to conduct root cause analysis for performance and scalability bottlenecks
Able to analyze Splunk logs, Dynatrace distributed traces, Appdynamics Snapshots, method hotspots and response-time hotspots to identify slow components and provide recommendations
Experience in performance testing for Cloud deployments, Docker/Kubernetes containerized applications and microservices
Strong knowledge on Java/Python, SQL query creation and manipulation skills
Experience in Auto-Scaling, Chaos and failover testing to measure and test for Pod/Node failures, Network exhaustion, CPU/memory saturation, Container startup failures and Dependency failures etc.
Strong ability to track and contribute to technical discussions around application integration and high-availability, resilience and observability
Individual Contributor with good communication skills
Seeking a Performance Engineer with strong expertise in performance testing, monitoring, and application scalability for cloud-native and distributed systems.
The ideal candidate will have hands-on experience designing and executing load, stress, and endurance tests using NeoLoad, JMeter, and LoadRunner, while leveraging Dynatrace, AppDynamics, and Splunk to identify performance bottlenecks and conduct root cause analysis.
This role requires experience with cloud deployments, microservices, Docker/Kubernetes environments, high availability, resilience testing, and observability practices.
The successful candidate will collaborate with technical teams to optimize application performance, scalability, and reliability while driving performance engineering best practices across the organization.
Top 3 skills required for this role:
Neoload, JMeter
Performance Testing
Performance Monitoring using AppDynamics, Dynatrace
8-10 Years of Experience
Skills:
Category Name Required Importance Experience
Cloud Platform Assurance Performance Testing Yes 1 6 + Years
Iaas:Automation & Analytics AppDynamics Analytics Yes 1 6 + Years
Infrastructure Services Kubernetes Yes 1 6 + Years