Mush have experience in Performance engineering such as Code Profiling, Database Query tuning / optimization and PODs scaling
Expertise in troubleshooting and identifying performance bottlenecks, analyzing the root causes, code level analysis and recommending corrective actions to tune the applications.
Expert in identifying performance bottlenecks at various layers like UI, App, DB, network, message queues etc.
Strong hands-on experience in various Application performance monitoring tools including AppDynamics, Dynatrace, Datadog, Grafana, Kibana, Splunk.
Having experience in Healthcare domain having value-adds
Experience in performance tuning of microservices pods on Kubernetes platform.
Experience in handling cloud applications hosted in AWS.
Experience in running test from CICD pipeline such as Jenkins/Gitlab
Create test scripts, test scenarios, execute load tests, endurance tests, scalability tests using Neo Load/LoadRunner/JMeter
Execute load scenarios for specified work models and monitor system and application behavior to find potential bottlenecks.
Having development experience to create utilities/tools, enhancing existing frameworks preferred
Having experience in AI/ML/LLM are added advantage
What are the top 3 skills required for this role?
Database Query tuning / optimization and PODs scaling
Expertise in troubleshooting and identifying performance bottlenecks, analyzing the root causes, code level analysis and recommending corrective actions to tune the applications.
Neo load, Dynatrace, AppDynamics, Cloud watch
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