MLabs
Network Infrastructure Engineer - AI Data Platform
Location: Hybrid – Ashburn
Compensation: $125 k – $150 k
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. We operate a vast distributed crawler, granting unique access to high-quality public web data at a global scale. Our 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.
We are 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 our AI-driven platform. Your work will directly impact the efficiency, security, and performance of our systems at massive scale.
Responsibilities
Oversee the design, configuration, and deployment of networks, servers, network switches, firewalls, and applications, including deploying physical infrastructure at our data center.
Oversee the configuration of servers with virtualization and troubleshoot complex application issues across the stack.
Ensure all infrastructure solutions meet stringent business needs for high scalability and industry-leading security standards.
Ensure correct configuration of all network components, including routers, switches, firewalls, and VPNs.
Maintain servers, networks, and other infrastructure components to guarantee maximum uptime and reliability.
Monitor system performance and proactively implement solutions to enhance reliability, security, and scalability.
Collaborate closely with engineering teams to integrate DevOps best practices into the development and deployment lifecycle, promoting automation.
Requirements
Proven experience designing networks and maintaining physical infrastructure, deep understanding of routers/switches and establishing reliable connectivity between servers.
Strong proficiency with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or similar.
Experience with major cloud platforms (AWS, GCP, or Azure), including networking, security, and automation capabilities.
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.
Strong problem‑solving skills focused on performance optimization and automation to achieve high output.
A builder mentality: low ego, high output, and comfortable in a fast‑moving, lean team environment.
Benefits
Competitive base salary ($125 k – $150 k).
Performance‑based tokens as part of an equity package.
Comprehensive competitive benefits package (details provided upon offer).
Flexibility: ability to work remotely.
Commitment to Equality and Accessibility At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, provide accessible job adverts, and supply information in accessible formats. If you need reasonable adjustments or an accessible format of this job advert, please email human-resources@mlabs.city.
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 deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
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Compensation: $125 k – $150 k
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. We operate a vast distributed crawler, granting unique access to high-quality public web data at a global scale. Our 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.
We are 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 our AI-driven platform. Your work will directly impact the efficiency, security, and performance of our systems at massive scale.
Responsibilities
Oversee the design, configuration, and deployment of networks, servers, network switches, firewalls, and applications, including deploying physical infrastructure at our data center.
Oversee the configuration of servers with virtualization and troubleshoot complex application issues across the stack.
Ensure all infrastructure solutions meet stringent business needs for high scalability and industry-leading security standards.
Ensure correct configuration of all network components, including routers, switches, firewalls, and VPNs.
Maintain servers, networks, and other infrastructure components to guarantee maximum uptime and reliability.
Monitor system performance and proactively implement solutions to enhance reliability, security, and scalability.
Collaborate closely with engineering teams to integrate DevOps best practices into the development and deployment lifecycle, promoting automation.
Requirements
Proven experience designing networks and maintaining physical infrastructure, deep understanding of routers/switches and establishing reliable connectivity between servers.
Strong proficiency with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or similar.
Experience with major cloud platforms (AWS, GCP, or Azure), including networking, security, and automation capabilities.
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.
Strong problem‑solving skills focused on performance optimization and automation to achieve high output.
A builder mentality: low ego, high output, and comfortable in a fast‑moving, lean team environment.
Benefits
Competitive base salary ($125 k – $150 k).
Performance‑based tokens as part of an equity package.
Comprehensive competitive benefits package (details provided upon offer).
Flexibility: ability to work remotely.
Commitment to Equality and Accessibility At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, provide accessible job adverts, and supply information in accessible formats. If you need reasonable adjustments or an accessible format of this job advert, please email human-resources@mlabs.city.
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 deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
#J-18808-Ljbffr