2 Wynd Labs Jobs Hiring Near You

Job Summary:
Wynd Labs is a company focused on building infrastructure that delivers web data for AI model training. They are seeking a Network Infrastructure Engineer responsible for designing and maintaining scalable and secure infrastructure to support their AI-driven platform.
Responsibilities:
• 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.
• Ensure regular maintenance of servers, networks, and other infrastructure components to ensure uptime and reliability.
• Troubleshoot and resolve issues related to infrastructure components.
• 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.
Qualifications:
Required:
• 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.
Company:
Wynd Labs is a platform that makes public web data accessible for AI. Founded in 2022, the company is headquartered in Toronto, CAN, with a team of 11-50 employees. The company is currently Early Stage.