SAP Performance Engineer

IT Services and IT Consulting
Austin
November 12, 2024
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Job Description

Position: SAP Performance Engineer

Location: Austin, TX (Onsite: 3 days a week)

Job Type: Fulltime

H1B/GC/USC/OPT-EAD

Description:

· 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 experience 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.

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.

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