Performance Optimization Specialist
2 days ago
We are seeking a skilled Performance Specialist to join our team. In this role, you will be responsible for designing and executing performance tests to ensure the optimal functioning of our applications.
Key Responsibilities:- Develop and Execute Performance Tests: Design, develop, and execute performance tests to evaluate the scalability, reliability, and performance of our applications.
- Analyze Test Results: Analyze test results to identify areas of improvement and provide recommendations for optimization.
- Collaborate with Cross-Functional Teams: Collaborate with development, QA, and DevOps teams to ensure seamless integration of performance testing into the software development lifecycle.
- Stay Up-to-Date with Industry Trends: Stay current with industry trends, best practices, and new technologies in performance testing.
- Hands-on Experience with Performance Testing Tools: Proficiency in multiple performance testing tools, including NeoLoad, LoadRunner, and JMeter.
- Strong Understanding of Performance Testing Types: Comprehensive knowledge of load, stress, endurance, spike, and scalability testing types.
- APM Tool Experience: Familiarity with APM tools like Dynatrace, AppDynamics, New Relic, Grafana, or Prometheus for monitoring.
- CICD Integration: Experience with CI/CD integration (Jenkins, Azure DevOps, GitLab CI/CD).
- Web Technologies: Solid knowledge of web technologies (HTTP/HTTPS, REST APIs, SOAP, WebSockets).
- Database Performance Validation: Proficiency in SQL and database performance validation.
- OS-Level Performance Monitoring: Good understanding of OS-level performance monitoring (Linux, Windows).
- Excellent Communication Skills: Excellent communication, analytical, and problem-solving skills.
- Cloud-Based Performance Testing: Exposure to cloud-based performance testing (AWS, Azure, GCP).
- Scripting Languages: Experience with scripting languages (Python, JavaScript, Shell) for automation.
- Microservices Architecture: Knowledge of microservices architecture and containerized environments (Docker, Kubernetes).
- Shift-Left Performance Testing: Understanding of shift-left performance testing practices and early performance feedback.
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