Remote Network & DevOps Engineer for AI Data Platform

MLabs Ltd

Ashburn (VA)

Hybrid

USD 125,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Competitive Base Salary ($125K - $150K)
Performance-based Tokens
Comprehensive benefits package
Remote work flexibility

Job summary

A leading AI infrastructure company is seeking a Network Infrastructure Engineer to design and maintain their robust AI-driven platform. This role involves enhancing the efficiency, security, and performance of operations at scale. Responsibilities include overseeing network design and deployment, ensuring robust cloud services, and collaborating with DevOps teams. Ideal candidates should have expertise in network architecture and Automation as Code tools. Competitive compensation with flexibility is offered.

Qualifications

  • Experience designing networks and maintaining physical infrastructure.
  • Proficient in Infrastructure as Code tools.
  • Experience with major cloud platforms.
  • Strong problem-solving skills focused on performance optimization.

Responsibilities

  • Oversee the design, configuration, and deployment of networks and servers.
  • Ensure scalability and security of infrastructure solutions.
  • Monitor system performance and implement improvements.
  • Collaborate with engineering teams on automation best practices.

Skills

Network architecture design
Automation (Infrastructure as Code)
Cloud services
Problem-solving
Containerization

Tools

Terraform
Ansible
Docker
Kubernetes
Prometheus
Grafana
ELK stack

Job description

A leading AI infrastructure company is seeking a Network Infrastructure Engineer to design and maintain their robust AI-driven platform. This role involves enhancing the efficiency, security, and performance of operations at scale. Responsibilities include overseeing network design and deployment, ensuring robust cloud services, and collaborating with DevOps teams. Ideal candidates should have expertise in network architecture and Automation as Code tools. Competitive compensation with flexibility is offered.
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