S&P Global Sr. Distributed Systems Engineer in Cambridge, Massachusetts
Grid computing team is responsible for the development of distributed computing system, Hadoop ecosystem based one, used as a backbone of the analytics as well as content based applications. The group is also responsible for optimization of the application running directly on the distributed computing ecosystem.
The role, as part of the Grid computing team, will play a vital part in delivering quality cutting edge technology, tailored to specific content and analytics business solutions.
What s in it for you:
The role gives opportunity to be part of an expert group of elite distributed systems developers, who have cutting edge expertise in distributed system engineering and development, and applying these systems to problems in the business space.
Distributed system implementation and development within the Apache Hadoop ecosystem
Apache Spark application optimization and development
Distributed system Application development integration and debugging
Linux shell application centric tools development and automation
Application and system integration activities with different languages on Linux
Distributed system and application debugging and problem resolutions
What We re Looking For:
Linux engineering and development
- 3-5 Years experience with one or more from the distributed systems technologies list:*
EGO-Symphony, LSF ( Platform Computing,IBM )
- Hadoop ecosystem - Massively distributed NoSQL systems
Any Open Source Grid software
- 5-7 years experience with C - C AND Java.
2-3 years distributed programming experience with any middleware technology.
*nix proficiency, shell scripting and OS system internals understandings, (kernel compilation is admirable experience)
Development knowledge for Linux and Windows environments
Network protocol knowledge TCP - IP as well as socket - network or distributed middleware programming experience in C - C and Java (GO is also a good experience)
Multithreading experience C - C and Java
Knowledge about and experience with compartmentalization technologies ( Docker or alike )
- 2-3 years experience in working with 100 computational devices configured as a distributed cluster - grid infrastructure
Logic oriented thinking and ability to focus fast on important data out of seemingly unrelated data streams
Interest in building and experimenting with massively distributed systems and applications.
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