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Performance Test Engineer

Digital.ai
Chennai, IND
Full-time
Mid
Onsite
Discovered 1 weeks ago
awsazuredockerdynatracegcpgrafana

Full Job Posting

Responsibilities

  • Analyze customer usage patterns and identify potential bottlenecks in the installation, configuration, or in the application itself
  • Working with the cross-functional team, analyze/profile the application for performance and scalability bottlenecks
  • Explore and identify scalability options for various sized customers
  • Work with customers on their performance and scalability issues (onsite/offsite)
  • Maintain, develop and enhance performance engineering dashboards and reporting solutions using JavaScript and Python to provide real-time visibility into performance trends, KPIs, SLAs, and test execution results
  • Evaluate and leverage Generative AI and Agentic AI capabilities to improve performance engineering processes, including test design, workload generation, RCA automation, data analysis, dashboard insights, and reporting automation
  • Contribute to creating baselines, benchmarks, and best practices for the performance engineering team. Provide not only test results but also drill down into logs and code to give developers more detail

Required Skills

  • Desired profile / skill set:
  • Expert in performance engineering techniques and processes
  • Expert in carrying out E2E performance testing, from identifying the requirements, building workload models, scenarios, scripting, results analysis, reporting, and presentation
  • Expertise in server-side and client-side performance testing tools and frameworks, preferably JMeter/Locust/Gatling, and experience in HTTP Watch, Fiddler, Chrome DevTools Lighthouse, PageSpeed Insights, WebPageTest, etc.
  • Experience in implementing continuous integration and continuous deployment methodology for performance engineering
  • Performance tuning experience with Web and Application Servers in Windows and Linux environments
  • Strong command of protocols: HTML/HTTP, TCP/IP, COM/DCOM, SOAP, REST
  • Database (PostgreSQL/MySQL/MongoDB/Oracle) knowledge is required, including SQL tuning
  • Proficient in any Java profiling tools (JProfiler, Dynatrace, YourKit)
  • Experience in using any APM tools is preferred (New Relic, AppDynamics, etc.)
  • Experience with metrics monitoring such as Grafana, InfluxDB, Prometheus, ELK
  • Expertise in heap and thread dump analysis is required (JMAP, TDA)
  • Real user monitoring and log analysis tools (Splunk, Logstash)
  • Experience with Java and.NET framework performance engineering is desirable
  • Experience in cloud computing, preferably AWS/Azure/GCP
  • Experience in DevOps and CI/CD culture
  • Exposure to Docker, Kubernetes and container management
  • Experience in performance tuning and recommendations
  • Good verbal and written communication skills
  • Self-motivated, independent, detail oriented and a team player

Qualifications

  • Expert in performance engineering techniques and processes
  • Expert in carrying out E2E performance testing, from identifying the requirements, building workload models, scenarios, scripting, results analysis, reporting, and presentation
  • Expertise in server-side and client-side performance testing tools and frameworks, preferably JMeter/Locust/Gatling, and experience in HTTP Watch, Fiddler, Chrome DevTools Lighthouse, PageSpeed Insights, WebPageTest, etc.
  • Experience in implementing continuous integration and continuous deployment methodology for performance engineering
  • Performance tuning experience with Web and Application Servers in Windows and Linux environments
  • Strong command of protocols: HTML/HTTP, TCP/IP, COM/DCOM, SOAP, REST
  • Database (PostgreSQL/MySQL/MongoDB/Oracle) knowledge is required, including SQL tuning
  • Proficient in any Java profiling tools (JProfiler, Dynatrace, YourKit)
  • Experience with metrics monitoring such as Grafana, InfluxDB, Prometheus, ELK
  • Expertise in heap and thread dump analysis is required (JMAP, TDA)
  • Real user monitoring and log analysis tools (Splunk, Logstash)
  • Experience with Java and.NET framework performance engineering is desirable
  • Experience in cloud computing, preferably AWS/Azure/GCP
  • Experience in DevOps and CI/CD culture
  • Exposure to Docker, Kubernetes and container management
  • Experience in performance tuning and recommendations
  • Good verbal and written communication skills
  • Self-motivated, independent, detail oriented and a team player

Preferred Qualifications

  • Experience in using any APM tools is preferred (New Relic, AppDynamics, etc.)

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