Data Systems Engineer - HPC, Cloud & Data Center

Oak Ridge National Laboratory

Oak Ridge (TN)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Oak Ridge National Laboratory (ORNL) is seeking a Data Systems Software Engineer to develop modular software tools and infrastructure for data processing and center operations in Earth, climate, and environmental sciences, including the ARM Data Center.

The role involves building back-end data analysis workflows at scale in an HPC environment, deploying containers with Docker/Kubernetes, and delivering documentation and scalable solutions while aligning with ORNL values of Impact, Integrity,

Qualifications

  • BS degree in computer science, information systems or related field.
  • Two years of Linux systems engineering experience.
  • Full-stack system development experience.
  • Experience with scripting languages (Python, Bash, PERL).
  • CI/CD with Docker deployment and Kubernetes experience.

Responsibilities

  • Research, develop and operate back-end data analysis workflows at scale in an HPC environment.
  • Design scalable data processing for historical and streaming data on hybrid HPC and cloud platforms.
  • Configure, deploy and update containers in Docker/Kubernetes with GitLab CI/CD pipelines.
  • Develop documentation for deployed systems/applications.
  • Learn new technologies to meet programmatic requirements.

Skills

Full-stack system development
Python
Bash
PERL
Linux
English communication

Education

BS degree in computer science, information systems or related field

Tools

Docker
Kubernetes
GitLab CI/CD

Job description

Oak Ridge National Laboratory (ORNL) is seeking a Data Systems Software Engineer to develop modular software tools and infrastructure for data processing and center operations in Earth, climate, and environmental sciences, including the ARM Data Center.

The role involves building back-end data analysis workflows at scale in an HPC environment, deploying containers with Docker/Kubernetes, and delivering documentation and scalable solutions while aligning with ORNL values of Impact, Integrity,

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