Senior Performance Test Engineer / Performance Testing Lead(Only w2)

Astir IT Solutions, Inc.

Philadelphia (Philadelphia County)

On-site

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Astir IT Solutions, Inc. in Pennsylvania seeks a Senior Performance Test Engineer to lead performance testing efforts in a local candidate role.

You will design, implement, and run end-to-end performance tests across cloud, databases, and services to ensure reliability at scale. The role requires 12+ years of experience, deep knowledge of APM/tools like AppDynamics, New Relic, Datadog, and hands-on experience with JMeter, Gatling, and K6.

Qualifications

  • End-to-end performance analysis across app, DB, infra and cloud.
  • Proficient with AppDynamics, Dynatrace, and Datadog for monitoring.
  • Strong SQL/NoSQL data access optimization and caching skills.

Responsibilities

  • Conduct end-to-end performance analysis across app, DB, infra and cloud environments to identify performance gaps and optimization opportunities.
  • Diagnose and resolve application bottlenecks using industry-leading APM and profiling tools such as AppDynamics, Dynatrace, Datadog, Java Flight Recorder (JFR), and YourKit.
  • Optimize system performance through JVM tuning, garbage collection (GC) analysis, thread management, database query optimization, caching strategies, and microservices performance enhancements.
  • Design, develop, and execute performance testing strategies, including load, stress, soak, endurance, and scalability testing using JMeter, Gatling, and K6.
  • Analyze performance metrics and provide actionable recommendations to improve system reliability, scalability, and user experience.

Skills

RUM/APM tools
Cloud platforms
SQL/NoSQL databases
Web performance
Frontend performance tools
Test scripting
Observability dashboards
Distributed microservices

Tools

AppDynamics
Dynatrace
Datadog
Java Flight Recorder
YourKit
JMeter
Gatling
K6
Lighthouse
Chrome DevTools
ELK Stack
Grafana

Job description

Job Title: Senior Performance Test Engineer / Performance Testing Lead (Only w2)
Experience: 12+ Years Required
Location: Pennsylvania (PA) – Local Candidates Only

Email :

Responsibilities
  • Conduct comprehensive end-to-end performance analysis across application, database, infrastructure, and cloud environments to identify performance gaps and optimization opportunities.
  • Diagnose and resolve application bottlenecks using industry-leading APM and profiling tools such as AppDynamics, Dynatrace, Datadog, Java Flight Recorder (JFR), and YourKit.
  • Optimize system performance through JVM tuning, garbage collection (GC) analysis, thread management, database query optimization, caching strategies, and microservices performance enhancements.
  • Design, develop, and execute performance testing strategies, including load, stress, soak, endurance, and scalability testing using JMeter, Gatling, and K6.
  • Analyze performance metrics and provide actionable recommendations to improve system reliability, scalability, and user experience.
Required Skills & Expertise
  • Strong expertise in Real User Monitoring (RUM) and Application Performance Monitoring (APM) tools, including AppDynamics (preferred), New Relic, and Datadog.
  • Hands-on experience with cloud platforms such as AWS and Azure, including services like ECS, EKS, Lambda, DynamoDB, CloudWatch, API Gateway, and Application Load Balancer (ALB).
  • In-depth understanding of SQL and NoSQL databases, query tuning, data access optimization, and distributed caching mechanisms.
  • Solid knowledge of Core Web Vitals, browser performance optimization, web rendering pipelines, and CDN performance tuning.
  • Experience with frontend performance analysis using tools such as Lighthouse and Chrome DevTools.
  • Proficiency in performance test scripting and automation using JMeter, K6, and Gatling.
  • Strong dashboard creation, monitoring, and observability skills using AppDynamics, Quantum Metric, ELK Stack, Grafana, and related monitoring platforms.
  • Experience in performance engineering for distributed, cloud-native, and microservices-based applications.
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