research engineer - cloud and mobile computing

Bangalore, Bangalore

   NoSQL, MULTIPLE, SAP, Reliability, Networking.
   Lead Research Engineer/Research Engineer ( Cloud and Mobile Computing ) Job ID:
   232532 Location:
   Bangalore, India Organization:
   Corporate Technology http:
    *technology/en/index.php Mode of employment:
   Full time Introduction With over 1, 900 research operatives worldwide, the Corporate Technology department ( ) occupies a special position within Siemens R&D; facilities.
It functions as an international network of expertise and as a global partner for technology and innovations.
Through its R&D; activities in Germany, the USA, China, India, Russia, Japan and Eastern Europe Corporate Technology helps secure the companys technological future and bolster its competitiveness.
RDA is at the heart of Siemens R&D.; Its strong technology base makes it a strong in
    *house partner for innovation.
We develop technologies with wide applicability for the Siemens Divisions and help them to successfully bring innovations to market.
Our about 1, 800 scientists at locations in North America, Europe, and Asia ensure the technological and innovative future of the company Cloud and Mobile Computing research group of Siemens Corporate Research (CT RDA) addresses innovative challenges in developing architectures for systems that need to acquire, store, and process high volume data of varying complexity, while guaranteeing quality attributes such as scalability, availability, reliability and performance.
Our research primarily focuses on Cloud, New age data stores e.g.
NoSQL data stores, messaging systems, stream processing and technology stack for Internet Of Things.
What are my responsibilities? Conceptualize solutions based on requirements (Evaluate multiple solution options and recommend) Implement proofs of concept and prototypes to validate ideas in the areas of research Survey and keep abreast of the state of the art in the areas of research Help disseminate knowledge by conducting technical talks and discussions Understand key non functional requirements relevant to Siemens businesses and conduct experiments to benchmark them Contribute to creation of IP in the areas that are relevant to the team and Siemens businesses Write papers for presentation in journals and conferences Hands on implementation of modules for various research and platform projects Fulfilling project process and quality needs What do I need to qualify for this job? Masters degree in Computer Science or a related discipline with 2
    *3 years (or) Bachelors degree with 6
    *7 years or PhD with 1
    *2 years of experience in relevant topics Inclination towards applied research in data management Knowledge about the use of design patterns, UML, and other modeling languages Experience with object
    *oriented design and programming using C#/Java Proficiency with data structures and algorithms Proficiency in scripting and hands on experience with networking tools.
Strong problem solving, communication and team working skills.
Research experience in the broad field of data management will be an added advantage Strong background in distributed computing and data management concepts and technologies is a must Hands
    *on experience with one or more of the following is a must:
   Cloud platforms (e.g.
OpenStack, Microsoft Azure, Amazon EC2) Large
    *scale data processing platforms (e.g.
Pivotal, SAP HANA) Hands on experience in cloud automation and orchestration tools are desired.
Docker, Brooklyn etc.
Strong concept in virtualization and topics related to virtualization.
Distributed data processing technologies Web services, RESTful What else do I need to know? Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
Please find more information at:
    *technology/en/index.php We are looking forward to receiving your online application.
Please ensure you complete all areas of the application form to the best of you ability as we will use the data to review your suitability for the role.