Network Infrastructure Engineer (DevOps

We are looking for a talented Network Infrastructure Engineer to join our team with experience working with infrastructure and network architecture design . In this role, you will be responsible for building and maintaining the infrastructure that powers our AI-driven platform. You will work closely with our engineering and product teams to deploy physical infrastructure at our data centre to ensure that our systems are scalable, secure, and reliable. Your work will directly impact the efficiency and performance of our platform, enabling us to deliver cutting-edge solutions at scale., + Oversee design, configuration, and deployment of networks, servers, network switches, systems, firewalls, and applications.

• Oversee the configuration of servers with virtualization and the troubleshooting of application issues
• Ensure infrastructure solutions meet business needs, including scalability and security.
• System Maintenance and Support:
• Ensure regular maintenance of servers, networks, and other infrastructure components to ensure uptime and reliability.
• Troubleshoot and resolve issues related to infrastructure components.
• Network Management:
• Ensure correct configuration of network components, including switches, routers, firewalls, and VPNs.
• Monitor system performance and implement solutions to enhance reliability, security, and scalability.
• Collaborate with engineering teams to integrate DevOps best practices into the development lifecycle.
• Ensure that all systems are secure and compliant with industry standards.

• Proven experience designing networks and maintaining physical infrastructure.
• Possesses a deep understanding of routers/switches and establishing connectivity between servers.
• Strong proficiency with infrastructure as code (IaC) tools such as Terraform, Ansible, or similar.
• Experience with cloud platforms like AWS, GCP, or Azure, including networking, security, and automation.
• Experience with high-performance storage solutions, namely MinIO.
• 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 with a focus on performance optimization and automation

• Opportunity. We are at the forefront of developing a web-scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.

• Culture. We’re a lean team with a high bar. We come to work not to be comfortable, but to find out what we’re capable of and to do work that matters. We’re not calling for people who keep things moving. We’re calling for people who make everyone around them better. We prioritize low ego and high output. This is a fully remote team.

• Compensation. You’ll receive a competitive salary, benefits and equity package.

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.

We’re the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.

We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.