Scalable Computing : Data And Systems Architect

Scalable Computing : Data And Systems Architect
Company:

(Confidential)


Scalable Computing : Data And Systems Architect

Details of the offer

Requisition Id2682 Purpose: The Computational Urban Sciences Group in the Computational Sciences and Engineering Division (CSED) at the Oak Ridge National Laboratory (ORNL) seeks to hire a systems architect

to serve in role that focus on development of interactive and visually compelling web applications for high volume and high velocity scientific data from sensors and simulation models for urban systems such as transportation, electric grid, and buildings.The function of this position is to provide support to a number of geospatially:focused research and development projects in the domains of electricity, climate, and transportation and extend into other disciplines.

The Computational Urban Sciences group is highly multi:disciplinary and the engagement is expected to expose the candidate to a variety of scientific domains such as urban weather and climate, building energy modeling, situational awareness, and population dynamics while building up from core computing application areas that include big:data, machine learning, graph analytics, geovisualization, high:performance computing, and map:reduce and distributed computing. The candidate must be comfortable working as part of a tightly integrated team and must be capable of supporting multiple projects simultaneously.

Responsibilities include, but are not limited to:

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Develop, optimize, and transition algorithm prototypes to scalable full stack and robust implementations.
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Maintain and enhance a strong knowledge profile of backend, middleware, and web:technologies and be able to provide input on pros and cons on combinations of technologies.
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Have a deep knowledge of microservices and testing approaches for full stack deployments.
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Be proficient in translating goals and objectives to Agile SCRUMs and run as SCRUM master.
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Adapt to changing needs of researchers as well as project sponsors.

Qualifications Required

Basic Qualifications:

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MS in computer science, computer engineering, geography, mathematics, or related disciplines and 5 years of experience.
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Candidates must have demonstrated good academic standing.
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Candidates must have demonstrated ability of having built compelling full stack applications that have a need to scale to large deployments.
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Knowledge of PostGRES, Hadoop, Kafka, Arrow, platform technologies such as Docker, analysis and visualization technologies such as D3, Angular, OpenLayers, or similar technologies is required.
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Candidates having demonstrated experience using web tools on streaming data for geospatial big:data applications is highly desirable.

Preferred Qualifications:

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4:5 years of experience building full:stack applications involving decisions of component technologies is desired.
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Strong experience building full:stack application swith PoSTGRES/PostGIS, D3, OpenLayers, Leaflet, JavaScript Frameworks, Python, and using REST APIs.
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Knowledge of Docker/Kubernetes and development in Docker environments.
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Knowledge and experience of Agile processes.
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Experience in statistics, data visualization, geographic information systems, big:data mining, streaming data platforms, and simulation and modeling is a significant plus.
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Knowledge of streaming sensor data as well as working with data from simulation and modeling tools.
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Experience with Big Data technologies such as the Apache stack, Spark, MapReduce, NoSQL databases and graph database is strongly desired.
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Strong social and communication skills and experience in working with multidisciplinary teams.

Relocation: Moving can be overwhelming and expensive. UT:Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits,


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