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Performance Engineer

Job in Vienna, Fairfax County, Virginia, 22184, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

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 Neo Load, JMeter, and Load Runner, while leveraging Dynatrace, App Dynamics, 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 & Load Runner. Experience in executing performance tests (load/stress/endurance) using Neoload/JMeter/Load Runner and performance monitoring using APM tools to identify performance issues
  • Hands-on experience in APM tools like Dynatrace & App Dynamics to conduct root cause analysis for performance and scalability bottlenecks
  • Able to analyze Splunk logs, Dynatrace distributed traces, App Dynamics 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?
  • Neoload, JMeter
  • Performance Testing
  • Performance Monitoring using App Dynamics, Dynatrace
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