Performance Engineer - W2 Only

Saransh Inc; Vienna (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Performance Engineer position in Vienna, VA focusing on performance testing, monitoring, and scaling of cloud-native distributed systems. You will design and execute load, stress, and endurance tests using NeoLoad, JMeter, and LoadRunner, and leverage Dynatrace, AppDynamics, and Splunk to identify bottlenecks and conduct root cause analysis.

The role requires Docker/Kubernetes experience, high availability and resilience testing, observability practices, and collaboration with engineering teams

Qualifications

• Experience designing and executing load, stress, and endurance tests using NeoLoad, JMeter, and LoadRunner.
• Experience with monitoring using APM tools to identify performance issues.
• Cloud deployments, microservices, and containerized applications.

Responsibilities

• Implement performance & high availability strategies to optimize application efficiency.
• Develop test scripts with Neoload, JMeter, and LoadRunner and run performance tests.
• Analyze logs and traces with Dynatrace, AppDynamics, and Splunk to identify bottlenecks.

Skills

Performance testing

Load testing

Cloud deployments

Observability

High availability

Tools

NeoLoad

JMeter

LoadRunner

Dynatrace

AppDynamics

Splunk

Docker

Kubernetes

Job description

Job Title: Performance Engineer

Location: Vienna, VA

W2 Position

Name

Performance Testing

AppDynamics Analytics

Kubernetes

NeoLoad

Jmeter

Job Description:

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.

Responsibilities:

• 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

Top 3 Skills Required

1. Neoload, JMeter
2. Performance Testing
3. Performance Monitoring using AppDynamics, Dynatrace