Network Infrastructure Engineer

Ashburn, VA, US • Posted 30+ days ago • Updated 7 hours ago
Full Time
On-site
$140000 - $165000/yr
Fitment

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Job Details

Skills

  • Startups
  • Artificial Intelligence
  • DevOps
  • Network Design
  • Computer Hardware
  • Computer Networking
  • Routers
  • Switches
  • Servers
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Microsoft Azure
  • Network Security
  • Problem Solving
  • Conflict Resolution
  • Performance Tuning
  • Docker
  • Orchestration
  • Grafana
  • Terraform
  • Ansible
  • Storage
  • Cloud Computing
  • Kubernetes

Summary

A fast-growing startup at the intersection of AI and decentralization is seeking a sharp Network Infrastructure Engineer to help scale mission-critical infrastructure. This role is a unique blend of DevOps, physical infrastructure, and network architecture. Perfect for someone who enjoys tackling complex infrastructure challenges at scale.

They recently stood up a data center in Ashburn, VA, so while the position is mostly remote, we're looking for someone local who can be on-site when needed to ensure uptime and resolve hardware, networking, and server issues swiftly.
Requirements:
  • Proven experience designing networks and maintaining physical infrastructure.
  • Possesses a deep understanding of routers/switches and establishing connectivity between servers.
  • Experience with cloud platforms like AWS, Google Cloud Platform, or Azure, including networking, security, and automation.
  • Excellent problem-solving skills, particularly in performance tuning and infrastructure automation.
  • Must be based near Ashburn, VA for occasional on-site support.

Preferred Skills:
  • Proficiency in containerization technologies (e.g., Docker) and orchestration tools like Kubernetes.
  • Solid understanding of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
  • Proficiency with infrastructure as code (IaC) tools such as Terraform, Ansible, or similar.
  • Experience with object storage platforms such as MinIO, particularly in cloud native or Kubernetes environments.

#LI-PF1
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: 10105282
  • Position Id: 868231
  • Posted 30+ days ago
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