Role Description
Top skills: Python Programming (Advance), Machine Learning Libraries, NLP, Data Classification, Model Classification, Prompt Engineering,
Key responsibilities/eligibility
- Should have minimum 5 years of experience in Performance Testing and also good knowledge in Performance Engineering
- Should be able to gather requirements that are required for the project or Application by working with various stake holders
- Should be able to develop Detail Performance Test Plan and be able to give walkthrough to stake holders
- Should have good experience in scripting and execution skills using at least two performance testing tool - LoadRunner, Jmeter, NeoLoad, Anyother
- Should have worked in at least one of the Application Monitoring Tool - Dynatrace, NewRelic, Appdynamics, Anyother
- Co-ordinate with all stakeholders/teams to identify performance bottlenecks across all tiers, components, layers
- Should be good in Oral and Written communication and also able to lead a team of 3-4 members
- Should be able to review scripts developed by team member and have experience in following best practice
- Analysis and resolution of critical and complex application issues, like crashes, hung threads, memory leaks, etc.
- Should be able to etc.. prepare reports that are required with in project like WSR, MMR, QBR
- Should have good knowledge in CICD pipeline tools like DevOps, Jenkins and also in AI
- Should have worked in one other Non Functional Testing (Apart from Performance Testing) like Chaos Engineering, Batch Performance, Failover testing etc…
- Should have performance monitoring experience across Windows and UNIX platforms, with OpenView, Sitescope, Wily or similar tools
- Ability to understand and analyze AWR reports or simillar report that helps to understand the root cause of the Performance Issues
- Must be able to work both independently and within a group
- Should have sounds knowledge in Agile process and terminologies