Performance Engineer

TekCommands•Vienna, VA

About The Position

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.

Requirements

Performance testing
Performance monitoring using AppDynamics, Dynatrace
NeoLoad, JMeter, LoadRunner
Cloud deployments
Microservices
Docker/Kubernetes environments
High availability
Resilience testing
Observability practices
Java/Python
SQL query creation and manipulation

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.