Performance Engineer – Cloud & Microservices Load Testing

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

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