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Cloud and Cluster Administrator runs Apps on varaiety of HPC clusters and public and private cloud computing platforms. You will be reponsible for maintaining these clusters and optimize our auto-scaling clusters that can meet the current demand from our users in a most efficient manner.

You are a solid fit for this position if...

  • 3+ year working with OpenStack, and on other cloud computing platforms such as Azure, GCP, and AWS.
  • Bachelor’s degree in Computer Science, Computer Engineering or related technical discipline
  • Familiarity with cloud specific deployment mechanisms and experience with deploying auto-scaling Slurm clusters.
  • Strong network engineering / system administration skills on Linux based systems.
  • Strong HPC, and various batch scheduling systems.
  • Experience with docker/singularity.
  • Excellent troubleshooting skills. You can solve complex issues independently and seek input from the team when stuck.

Our idea of a perfect candidate is someone who..

  • Eager to learn new technologies and open to receive feedback from other team members.
  • Familiar with working with Kubernetes and microservice architecture.
  • Demonstrable ability to write clean, concise, and maintainable code.
  • Python, and bash. Familiarity with nodejs, npm and Javascript ecosystems.
  • Familiarity with common OWASP vulnerabilities.
  • Great feedbacks from your past work coleagues and other research / software engineers.
  • git, ansible, experience using monitoring systems (sensu, munin, etc..)
  • Experience with 24x7 operations.
  • You can work without a lot of supervisions, but can keep the team member informed of your progress.

This role will be responsible for...

  • Work with App Engineers to troubleshoot Apps that are failing.
  • Build and administer slurm clusters on public and private cloud infrastructures.
  • Monitor and operate clusters and troubleshoot problems / optimize ineffiency.
  • Assist other engineers to identify security issues and ways to solve those issues.
  • Monitor and identify computing bottlenecks and adjust / create new clusters to alleviate the problems.

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