Define, develop and apply performance/scalability benchmarks.
Work in cross-functional teams to characterize, debug, and improve system performance and scalability.
Work efficiently with various profiling tools to identify performance bottlenecks and provide root cause analysis.
Devise and conduct experiments to evaluate the performance impacts of system changes.
Plan and execute performance tests using an automated testing environment and conduct analysis of results.
Participate in architecture and design reviews of complex solutions in cross-team engineering efforts and own quality perspectives for the design.
Must-Have Experience:
Minimum 3+ years of proven hands-on software testing experience. Strong experience in performance testing of SAP applications. Candidate should have an experince working on Brown or Green field S/4 HANA implementations
Strong knowledge of one or more programming languages (e.g., Python, Perl, ABAP, Java, C++).
Experience in performance testing tools - LoadRunner Enterprise, Apache JMeter, SoapUI, Postman.
Experience in data analysis and visualization, end-to-end performance, and root cause analysis.
Experience in service-oriented architecture, and RESTful APIs.
Strong knowledge of performance-tuning SQL queries.
Extensive hands-on experience with JVM tuning techniques.
Experience with application performance monitoring tools like Dynatrace, and AppDynamics.
Efficiently work with various profiling tools to identify performance bottlenecks.
Following experience is a plus / Nice to have
Working knowledge of Agile or Scrum software development methodologies.
Experience in Cloud-based platforms like AWS and GCP. Expertise in performance assessment and optimization of complex applications built on the SAP BTP platform.
Strong understanding of BTP components like API management (APIM), SAP Integration Suit, Conversational AI (CAI), Data Intelligence (SAP DI), and AWS storage services.
Skilled in BTP technologies like Smart Data Integration(SDI).
Strong experience in performance testing and analysis of SCP iOS SDK mobile apps.
Proficient in application & DB performance monitoring in SAP BTP using Kibana, HANA DB cockpit and SAP BTP cockpit.
Understanding of basic Machine Learning algorithms & principles. Strong understanding of relational database systems as well as in- memory databases.
Understanding of Algorithms and O-Notation. Code management using Git.
Salary Range: $130,000 - $160,000 a year
