Performance Engineer - W2 Only

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

Job summary

Saransh Inc is seeking a Performance Engineer in Vienna, VA, to lead performance testing, monitoring, and scalability efforts for cloud-native and distributed systems. The role requires hands-on experience with NeoLoad, JMeter, LoadRunner, and observability tools to identify bottlenecks and drive performance improvements across microservices architectures.

The candidate will collaborate with development and operations teams to optimize application performance, ensure high availability, and

Qualifications

• Experience designing and executing load, stress, and endurance tests for cloud-native and distributed systems.
• Hands-on with performance monitoring using APM tools to identify bottlenecks and perform root cause analysis.
• Familiarity with cloud deployments, microservices, and containerized environments (Docker/Kubernetes).

Responsibilities

• Develop and run performance tests using NeoLoad and JMeter; simulate load and endurance scenarios.
• Use APM tools (Dynatrace, AppDynamics) to identify bottlenecks and analyze root causes.
• Analyze Splunk logs and traces to pinpoint slow components and propose optimizations.
• Collaborate with engineering teams to improve performance, scalability, and reliability of microservices.
• Validate auto-scaling, failover, and high-availability strategies under load.
• Participate in observability improvements and performance engineering best practices.

Skills

Performance Testing

Tools

NeoLoad

Jmeter

LoadRunner

Dynatrace

AppDynamics

Splunk

Docker

Kubernetes

Job description

Job Title: Performance Engineer

Location: Vienna, VA

Contract: 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 for this role

• Neoload, JMeter
• Performance Testing
• Performance Monitoring using AppDynamics, Dynatrace