Specialist - Quality Engineering

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