Senior Performance Test Engineer

6 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

AutoRABIT Profile

Roles & Responsibilities

  • Person with 6+ years of experience in Performance Testing.
  •  Preparation of scripts using JMeter, Gatling and desirable to have exposure to other Load testing tools.
  • Strong knowledge developing performance test scenarios, test execution, analyzing results and providing recommendations.
  •  Proficient in different types of performance testing (Stress, Volume, Load, etc.) to align the business requirements in Performance test models.
  •  Proficiency with performance Testing tools involving JMeter, Gatling
  •  Experience working with APM tools such as Elastic Search APM, Grafana, Datadog…
  •  Strong expertise in Performance Test frameworks and implementation processes.
  • .Must have experience in creating Sizing document
  • Should have experience testing in Cloud environment preferably AWS
  •  Must have experience in developing performance testing strategy and define performance/scalability metrics
  •  Work with developers, product owners, and operations teams to create Load testing scenarios
  •  Should have experience in analyzing JVM performance problems related to garbage collection & memory leaks
  •  Design and implement a performance/reliability methodology
  • Publish and perform the Load/Stress tests and certify the release of web applications for various performance levels.
  • Proficient in Performance testing on Cloud environment, Load Balancer, Load testing of Web services, Server Sizing
  • Responsibility to adhere to set internal controls.

Desired Skills and Knowledge

  •   Jmeter
  •   AWS, Elastic search
  •   Linux/Ubuntu hands on
  •   PostgreSQL , MySQL, MongoDB, DynamoDB
  •   Kubernetes, Docker, Apache-Tomcat
  •   JVM, Profiling
  •   Monitoring tools like Elastic APM, Observability
  •  Java or Python or Shell scripting (good to have)
  •  Salesforce Knowledge is good to have.

Education

  • Bachelor’s or MS degree in Computer Science and Engineering or equivalent experience.

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