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# Performance Test lead

- **Company:** Hexaware Technologies
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Confluence, JIRA, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Database Connection, Github, Groovy, HP Loadrunner, Java Database Connectivity, Apache JMeter, Python (Programming Language), Load Testing, OAuth, Prometheus, Security Assertion Markup Language (SAML), Simple Object Access Protocol (SOAP), Test Data, WebSocket, Data Processing, Scripting, Google Cloud, Performance Testing, Neoload, Grafana, Gatling, Git, Containerization, Gitlab-ci, Kubernetes, Restful APIs, Grpc, New Relic (SaaS), Appdynamics, Software Version Control, Dynatrace, Docker, Elk Stack, Jenkins
- **Published:** June 2, 2026
- **Apply:** https://www.dice.com/job-detail/ab485d91-1c2d-4de7-a3df-c46440b7124e

## About the Role

Typical experience: 10+ years in performance testing/performance engineering, with 2+ years in a lead or senior contributor role.
Demonstrable experience designing and executing large-scale performance tests for production-like environments.
Proven track record of identifying and resolving performance bottlenecks and influencing architecture/design decisions.

Required technical skills & tools
Performance test tools: expertise with one or more of JMeter, LoadRunner (VuGen/Controller), k6, Gatling, Locust, NeoLoad.
Scripting/programming: strong scripting skills in Java, Python, JavaScript, or Groovy for test scripting and automation.
Protocols and technologies: HTTP/HTTPS, WebSockets, REST, SOAP, gRPC, database connectivity (JDBC), and authentication flows (OAuth, SAML).
CI/CD & automation: Jenkins/GitHub Actions/GitLab CI integration for scheduled and pipeline-triggered tests.
Cloud & infrastructure: hands-on exposure to AWS/Azure/Google Cloud Platform for distributed load generation, containerization (Docker), and Kubernetes.
Monitoring & APM: experience with Grafana, Prometheus, New Relic, Dynatrace, AppDynamics, or ELK stack for metrics and traces.
Data handling: ability to design realistic test data, parameterization, and correlation for accurate workload simulation.
Version control & collaboration: Git, Jira, Confluence, or equivalent.



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