Infrastructure Engineer

Company:  Insight Global
Location: Warren
Closing Date: 10/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

Company: DCS

Position: Infrastructure Engineer

Duration: 9 month contract to hire, you will convert perm after 9 months

Location: Warren, Michigan (onsite 2 days per week on average – will have to go onsite up to 5 days per week for experiments, which happen 2-3 times per year)

Clearance: Will require an interim or secret clearance to start (IG can help obtain)


Must Haves:

  • Experience as an Infrastructure Engineer
  • BS in computer science/engineering related field
  • Experience writing system configuration scripts (Bash, Python, Ansible, etc).
  • Experience working with OCI container technologies (Docker, Podman, Kubernetes).
  • Familiarity with the OSI network model (open systems interconnection)
  • Experience contributing to projects managed as Git repositories.


Day-to-Day:

Insight Global is looking for a Computer Infrastructure Engineer to work for a DoD customer based out of Warren, MI. This team will support the Simulation Laboratory's experimentation efforts by developing orchestration methods for the deployment of simulation workloads, building network-based bare metal provisioning systems, and designing CI/CD pipelines that streamline the organization's iterative test and deployment process. The ideal candidate will be upbeat with a student mentality. This is a mainly remote role but will require onsite work on a project needed basis. This role will require a secret clearance and Insight Global will process the ideal candidate for an interim clearance!

Essential Job functions:

  • Deploy services that will support a continuous integration workflow within a laboratory environment. Research, test, and integrate bare metal provisioning solutions that will allow for efficient, scalable, and deterministic configuration of laboratory hardware.
  • Develop, and test orchestration solutions that can be used to instantiate distributed simulation environments in a rapid and repeatable manner.

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