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Business System Programmer for Cloud Technical Computing – Parallel Works

1871 Member Companies

This is a Contract position in Lakeland, FL posted November 25, 2021.

About Us Parallel Works is a Chicago-based startup focused on technical computing for science, engineering and business applications.

The Parallel Works SaaS platform makes HPC workflows easy, fast and collaborative on hybrid cloud and supercomputing environments.

Our customers range from small and nimble startups creating innovative computing and ML pipelines to the worlds leading flood modelling engineers to scientific weather / climate agencies to global suppliers to the automotive industry.

Both remote and on-site work options are available.

We are based in the heart of Chicagos Loop.

The Role This position involves systems accounting, resource management, reporting-tool development, and production report management all crucial capabilities that businesses depend on to make cloud computing viable.

There is also the opportunity to work on enhancement of the Parallel Works platform, which runs on all three leading public cloud platforms: AWS, Azure and Google Cloud.

Platform development would include working with cloud APIs, workflow management frameworks, container systems, resource management tools, and parallel programming tools and libraries, OS performance measurement and monitoring tools, HPC schedulers and debuggers.

The platform acts as a middleware between these wide ranges of computing resources and allows organizations to leverage the resources, billing, and user hierarchies in a uniform way.

Requirements Database experience with SQL and JSON/NoSQL databases, ideally PostgreSQL and MongoDB Python REST APIs Multi-source data integration Basic data science techniques for data analysis and plotting Report and spreadsheet generation via automated tools Linux/Bash shell scripting at moderate levels of sophistication Some knowledge of Cloud resources Git for revision management and issue tracking Desired Experience Node.js / JavaScript programming experience.

SQL query tuning Experience with parallel profiling and debugging.

Jupyter Notebook experience Some basic familiarity with machine learning concepts, tools and libraries.

Workflow programming experience Distributed data management platforms such as Globus.

Parallel Works is an Affirmative Action, Equal Opportunity Employer.

As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive background check and technical evaluation.

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