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Staff Engineer, Digital Infrastructure (R5602) at Shieldai

Shieldai · London, United Kingdom · On-site

Python

C++

Kubernetes Container Platforms

Cloud

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Description

Job Description:

ShieldAI has developed a software factory for building, optimizing, evaluating, and analyzing autonomy solutions. The technology has drawn significant interest from industry. We are currently working with these customers to investigate modern warfighting problems and develop/deliver solutions. This position will support deploying, integrating, maintaining, and developing components of this factory for our autonomy teams and customers within isolated/specialized environments

What you'll do:

  • Work with a small team of engineers and administrators
  • Integrate our AI training factory and tooling onto new hardware
  • Provide software updates and configuration management between various isolated environments
  • Ensure proper operation of our AI training factory and tooling
  • Coordinate with autonomy teams to build and meet requirements
  • Solve challenging and important problems

    • Required qualifications:

  • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
  • 3+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration
  • Experience with supporting C++ or Python-based applications
  • Solid understanding of Linux/Unix-based systems (specifically in networking and experience in designing and implementing networked applications)
  • BS/MS in Computer Science, similar degree, or equivalent practical experience
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • Experience debugging/troubleshooting deployed, distributed problems
  • Experience developing and deploying automation tooling (ex. Ansible, Chef, Puppet)
  • Must be available to support onsite in our London office location.

    • Additional Information

    #LI-LD2
    #LD
    Apply Now

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