Responsibilities – Performance architect for Performance Engineering, who will own all the service offering involving Performance Testing and Performance Monitoring using APM tools
Must Have Skills
Person with 14-18 years of experience in IT with at least 10 years’ experience in Performance Testing & engineering and 2-3 years exposure to Cloud (AWS, Azure, GCP)
Experience in test consulting and strategy using LoadRunner, NeoLoad and Open Source (JMeter) tools for performance testing and engineering
Proficient in NFT process including Security, Accessibility, Operational Acceptance testing
Has experience in supporting proposals & estimations
Good experience in providing solutions for performance testing and engineering by understanding the requirements
Excellent decision maker with strong performance architect level knowledge on both technology and infrastructure
Should be good in communication with excellent people management skills.
Need to have implementation experience of various innovative ideas
Very strong in design of test framework, load simulation model, load stats calculations
Knowledge in CICD solutions such as Jenkins, GitHub actions
Experience working with GitHub
Strong expertise in Performance Test frameworks and implementation processes
Proficient in different types of performance testing (Stress, Volume, Load, etc.) to align the business requirements in Performance test models
Strong knowledge on profilers, APM monitoring & log analytics tools like dynatrace, AppDynamics, New Relic, Jprofiler, Splunk, Cloud native analytics tools etc.,
Drive innovations and think through aspects of automation in solutions
Devise performance testing tool solutions & IP with graphing tools, time-series databases, ELK stack
Should have expertise in effort estimation for performance engineering activities
Good understanding and hands-on experience of doing Performance testing in Agile environment using Continuous Integration Tools – Jenkins/Maven
Should have been a subject matter expert with Customer facing roles.
Exposure for creating collaterals for marketing and sales support
Good understanding of Automation with open-source test automation tools / frameworks (Selenium, API automation tools) on Cloud Applications.
Application clustering / load balancing concepts and technologies on Cloud Platform.
Basic knowledge on Storage and DB Server configuration on AWS/Azure/GCP.
Proficiency with two or more of the programming languages: JAVA, Perl, Python.
Good understanding of AWS\Azure micro services architecture
Basic Exposure to PaaS technologies and Containers like Docker, Kubernetes and understanding of virtualization Concepts.
Soft Skill
Soft Skills: Good communication, analytical and presentation skills, problem solving skills and learning attitude.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Quality Assurance
Industries
IT Services and IT Consulting
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