Performance Engineer

TechDigital Group; Vienna (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

TechDigital Group is seeking a Performance Engineer to drive performance testing, monitoring, and scalability for cloud-native and distributed systems. You will design and execute load, stress, and endurance tests using NeoLoad, JMeter, and LoadRunner, while leveraging Dynatrace, AppDynamics, and Splunk to identify bottlenecks and perform root cause analysis.

Collaborate with cross-functional teams to optimize application performance, scalability, and reliability.

Qualifications

• Hands-on experience designing and executing load, stress, and endurance tests.
• Experience with cloud deployments and microservices in Docker/Kubernetes.
• Strong ability to analyze performance data and identify bottlenecks across distributed systems.

Responsibilities

• Design and execute performance tests (load, stress, endurance) using NeoLoad, JMeter, and LoadRunner.
• Monitor performance with Dynatrace, AppDynamics, and Splunk to identify bottlenecks.
• Collaborate with engineering teams to optimize scalability, reliability, and observability.

Skills

Performance testing

Root cause analysis

Java

Python

Tools

NeoLoad

JMeter

LoadRunner

Dynatrace

AppDynamics

Splunk

Job description

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

What are the top 3 skills required for this role?

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