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Senior Staff Engineer – Infrastructure

Senior Staff Engineer – Infrastructure

CompanyShield AI
LocationWashington, DC, USA
Salary$168871.2 – $253306.8
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelExpert or higher

Requirements

  • The ability to obtain and maintain a US Security Clearance.
  • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 7 years and a Master’s degree; or 5 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
  • Expert understanding of Linux/Unix-based systems (specifically in networking and experience in designing and implementing networked applications)
  • Experience leading/mentoring a small team
  • 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 Crystal City and surrounding NOVA area

Responsibilities

  • Work with a team of autonomy developers, test engineers, cyber security, and system administrators
  • Lead a small team of infrastructure engineers
  • 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

Preferred Qualifications

  • Experience with Authentication and Authorization frameworks and protocols
  • DoD 8570 IAT Level 2 Compliance
  • Experience supporting Golang-based applications