Cyber Security Analyst II

Sterling Heights, MI, US • Posted 2 days ago • Updated 2 days ago
Full Time
On-site
Fitment

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Job Details

Skills

  • User Experience
  • Cyber Security
  • Continuous Delivery
  • Continuous Integration
  • Continuous Integration and Development
  • Workflow
  • Research
  • Computer Hardware
  • Orchestration
  • DoD
  • Security Clearance
  • Provisioning
  • Linux
  • Writing
  • Scripting
  • Bash
  • Python
  • OCI
  • OSI
  • Network
  • Git
  • Customer Engagement
  • GPU
  • Video
  • Streaming
  • Ansible
  • Docker
  • Kubernetes

Summary

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Cyber Security Analyst II

DCS Corp | Sterling Heights

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Job details

Location: Hybrid -The Computer Infrastructure Engineer will support the Ground Vehicle 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.

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.

Required Skills:

Due to the sensitivity of customer related requirement, U.S. Citizenship is required.

Applicants must be able to obtain a DoD Secret security clearance.

High School Diploma/GED with 13 years of experience provisioning and administering Linux systems.

Experience writing system configuration scripts (Bash, Python, Ansible, etc).

Experience working with OCI container technologies (Docker, Podman, Kubernetes).

Familiarity with the OSI network model.

Experience contributing to projects managed as Git repositories.

Desired skills:

Bachelor's degree in CS/CE/CNSA (or other relevant discipline)

Datacenter engineering skills.

Experience with GPU acceleration methods.

Experience with video encoding and streaming protocols.

Experience with the following technologies:

Ansible.

Docker

Podman

Nvidia Container Toolkit.

Kubernetes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24811438
  • Posted 2 days ago
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