
Optimization Expert
6 days ago
We are seeking a proactive and detail-oriented Performance Specialist to join our team and work alongside senior engineers.
In this role, you will assist in implementing performance tasks, including testing, monitoring, and optimization for enterprise-grade applications.
You will have the opportunity to work with cutting-edge technologies, contribute to performance best practices, and grow your expertise in performance engineering under expert guidance.
Main Responsibilities :Testing :
- Develop and execute performance test scripts and scenarios for load, stress, scalability, and endurance testing.
- Collect and analyze performance data to identify potential bottlenecks and areas for improvement.
- Maintain and enhance performance testing frameworks, tools, and environments.
Monitoring and Diagnostics :
- Set up and use application and system monitoring tools to capture performance metrics.
- Assist in diagnosing performance issues across application, database, and infrastructure layers.
- Provide detailed reports and collaborate with the team to implement performance tuning.
Automation and Continuous Integration :
- Automate performance testing in CI/CD pipelines to ensure continuous monitoring of application performance.
- Write scripts or use tools to simulate real-world user traffic and test application scalability.
- Maintain performance test assets in source control and integrate with DevOps workflows.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3-5 years of experience in performance testing and engineering for enterprise applications.
- Hands-on experience with performance testing tools like JMeter, LoadRunner, Gatling, or similar.
- Familiarity with monitoring and APM tools (e.g., Dynatrace, AppDynamics, New Relic).
- Basic understanding of Java/.NET application performance and optimization techniques.
- Knowledge of Kubernetes and containerized applications (e.g., Docker).
- Familiarity with CI/CD pipelines and source control tools like Git.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Basic understanding of microservices architecture and APIs.
- Exposure to observability tools like Prometheus, Grafana, or Elasticsearch.
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