Performance Engineer with Splunk Job at Wipro, Austin, TX

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  • Wipro
  • Austin, TX

Job Description

About Wipro

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs.

We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses.

A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries.

We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

  • A PROUD HISTORY OF OVER 75 YEARS
  • FY22 REVENUE 10.4 BN USD
  • WE’RE PRESENT IN 66 COUNTRIES
  • OVER 1,400 ACTIVE GLOBAL CLIENTS

Title : Performance Engineer with Splunk

Location : Austin

Job Description

  • Proficiency in profiling tools to identify performance bottlenecks and 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 .
  • Define, develop and apply performance/scalability benchmarks.
  • Work in cross-functional teams to characterize, debug, and improve system performance and scalability.
  • 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 service-oriented architecture, and RESTful APIs
  • Strong knowledge of performance-tuning SQL queries

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
  • Experience in data analysis and visualization, end-to-end performance, and root cause analysis.
  • Extensive hands-on experience with JVM tuning techniques .
  • Experience with application performance monitoring tools like Dynatrace, and AppDynamics .

Nice to have Experience:

  • 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 with 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.

Education:

  • Bachelor’s degree in Mathematics, Computer Science, Engineering, or other relevant major.
  • Certifications like AWS Solutions Architect and GCP Associate Cloud Engineer are a plus.

Expected annual pay for this role ranges from $80000 to $115000. Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.

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