Staff Engineer, Digital Infrastructure (R5602)

Shield AI
London, United Kingdom
On-site

Who this role is best for

Candidates with cloud infrastructure experience and a background in systems engineering will find this role in a specialized, on-site environment.

Best fit for

  • Experienced engineers with a focus on cloud orchestration and systems design in isolated environments
    — “deploying, integrating, maintaining, and developing components of this factory for our autonomy teams and customers within isolated/specialized environments”
  • Individuals with a proven ability to debug distributed systems and deliver automation tooling
    — “Experience debugging/troubleshooting deployed, distributed problems”
  • Professionals with a strong grasp of Linux networking and a history of supporting AI/ML applications
    — “Solid understanding of Linux/Unix-based systems (specifically in networking and experience in designing and implementing networked applications)”

Things to consider

  • Onsite presence is mandatory, which may limit remote flexibility
    — “Must be available to support onsite in our London office location.”
  • Minimum experience requirements suggest a mid-to-senior level role
    — “Typically requires a minimum of 7 years of related experience with a Bachelor’s degree”

How to stand out

  • Highlight experience with container orchestration and automation tooling in your resume and interviews
    — “3+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration”
  • Emphasize your background in supporting C++ or Python-based applications in technical interviews
    — “Experience with supporting C++ or Python-based applications”
  • Demonstrate your track record of working collaboratively with cross-functional teams
    — “Coordinate with autonomy teams to build and meet requirements”
  • Include examples of maintaining and managing software in isolated environments
    — “Provide software updates and configuration management between various isolated environments”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • deploy AI training factory
  • integrate tooling onto new hardware
  • provide software updates
  • coordinate with autonomy teams
Typical background
7+ years of related experienceBachelor’s degree in Computer Science or similar

Skills & requirements

Required

Cloud ComputingKubernetesContainer OrchestrationLinux/unix SystemsNetworkingC++PythonSoftware UpdatesConfiguration ManagementAutomation Tooling

Preferred

AI Training FactoryAutonomy Solutions

Stack & domain

Cloud ComputingKubernetesContainer OrchestrationC++PythonLinux/unixNetworkingAnsibleChefPuppet

About the role

Original posting from Shield AI via Lever

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.

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Source: Shield AI careers (Lever)

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