Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Apache JMeter
AppDynamics
Artificial Intelligence
Cloud Computing
Continuous Integration and Development
Database
Dynatrace
GitLab
Grafana
HP LoadRunner
Health Care
Jenkins
Kibana
Kubernetes
Machine Learning (ML)
Message Queues
Microservices
Network
Optimization
Performance Engineering
Performance Monitoring
Performance Tuning
Query Optimization
ROOT
Scalability
Splunk
Test Scenarios
Test Scripts
UI
Job Details
Role: Senior Performance Engineer
Location: Remote
Experience: 10+ Years
Job Description/ Responsibilities/ Years of experience:
- 8 to 12 years of experience
- 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 behaviour 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?
1. Database Query tuning / optimization and PODs scaling
2. Expertise in troubleshooting and identifying performance bottlenecks, analysing the root causes, code level analysis and recommending corrective actions to tune the applications.
3. Neo load, Dynatrace, AppDynamics, Cloud watch
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