Network Infrastructure Engineer (DevOps) MLabs · Ashburn · DevOps & Release $125,000–$150,000 6mo ago

Devopsroles; Ashburn (VA); Hybrid; USD 125,000 - 150,000; Full time

Benefits offered by this job

Performance-based tokens

Equity package

Remote work flexibility

Competitive benefits

Job summary

MLabs is seeking a Network Infrastructure Engineer to design, deploy, and optimize the physical and cloud network stack powering a massive AI data platform. The role emphasizes automation, security, and scalable infrastructure in a hybrid Ashburn setting.

You will drive IaC initiatives with Terraform and Ansible, work with AWS/GCP/Azure networking, and integrate DevOps practices across the deployment lifecycle to boost reliability and performance.

Qualifications

• Networking expertise designing networks and maintaining physical infrastructure.
• Automation (IaC) with Terraform, Ansible, or similar.
• Cloud experience on AWS, GCP, or Azure.
• Containerization with Docker and orchestration with Kubernetes.
• Monitoring and logging with Prometheus, Grafana, or ELK stack.
• Strong problem-solving with focus on performance optimization and automation.
• Builder mentality in a fast-moving lean team environment.

Responsibilities

• Infrastructure Design and Implementation: design, configure, deploy networks, servers, switches, firewalls, apps; include data center deployments.
• System Configuration & Virtualization: configure servers, virtualization, and troubleshoot stack issues.
• Scalability & Security: ensure scalable, secure infrastructure meeting business needs.
• Network Management: configure routers, switches, firewalls, VPNs.
• Maintenance & Support: maintain servers, networks, infrastructure for uptime.
• Performance Monitoring: monitor and improve reliability, security, and scalability.
• DevOps Integration: collaborate with engineering to embed DevOps practices in lifecycle.

Skills

Networking design & infra

IaC automation

Cloud platforms

Containerization & orchestration

Monitoring & logging

Problem-solving & optimization

Lean-team DevOps collaboration

Tools

Terraform

Ansible

AWS

GCP

Azure

Docker

Kubernetes

Prometheus

Grafana

ELK stack

Job description

Network Infrastructure Engineer - AI Data Platform

Location: Hybrid - Ashburn

Compensation: $125K - $150K

Join a lean, technical team building the critical infrastructure that delivers massive amounts of web data to companies training the world’s most powerful AI models. The client operates a vast distributed crawler, granting unique access to high-quality public web data at a global scale. Their work involves building advanced pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, directly powering dataset creation for frontier AI labs.

The client is looking for a talented Network Infrastructure Engineer with significant experience in infrastructure and network architecture design. You will be responsible for building and maintaining the robust physical and cloud infrastructure that powers their AI-driven platform. Your work will directly impact the efficiency, security, and performance of our systems at massive scale.

This role requires deep expertise across network architecture, physical deployment, cloud services, and automation (Infrastructure as Code).

• Infrastructure Design and Implementation: Oversee the design, configuration, and deployment of networks, servers, network switches, firewalls, and applications. This includes deploying physical infrastructure at our data center.
• System Configuration & Virtualization: Oversee the configuration of servers with virtualization and troubleshoot complex application issues across the stack.
• Scalability & Security: Ensure all infrastructure solutions meet stringent business needs for high scalability and industry-leading security standards.
• Network Management: Ensure correct configuration of all network components, including routers, switches, firewalls, and VPNs.
• Maintenance and Support: Ensure regular maintenance of servers, networks, and other infrastructure components to guarantee maximum uptime and reliability.
• Performance Monitoring: Monitor system performance and proactively implement solutions to enhance reliability, security, and scalability.
• DevOps Integration: Collaborate closely with engineering teams to integrate DevOps best practices into the development and deployment lifecycle, promoting automation.

Requirements

• Networking Expertise: Proven experience designing networks and maintaining physical infrastructure. Deep understanding of routers/switches and establishing reliable connectivity between servers.
• Automation (IaC): Strong proficiency with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or similar.
• Cloud Experience: Experience with major cloud platforms (AWS, GCP, or Azure), including networking, security, and automation capabilities.
• Containerization: Proficiency in containerization technologies (e.g., Docker) and orchestration tools like Kubernetes.
• Monitoring & Logging: Solid understanding of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
• Problem-Solving: Strong problem-solving skills with a clear focus on performance optimization and automation to achieve high output.
• Work Style: A builder mentality: low ego, high output, and comfortable in a fast-moving, lean team environment.

Benefits

The client recognizes the critical nature of this role and offer a highly competitive total compensation package:

• Compensation: Competitive Base Salary ($125K - $150K)
• Incentives: Performance-based Tokens (as part of an equity package)
• Benefits: Comprehensive competitive benefits package (details provided upon offer).
• Flexibility: Ability to work remotely.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by [e-mail].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [e-mail].