You will build and maintain Python services and APIs for managing GPU virtual machines and bare-metal servers within a cloud infrastructure. Additionally, you will automate provisioning workflows, integrate hardware into Kubernetes, and investigate production issues across the control plane.
Develop and maintain RESTful APIs for managing GPU clusters and cloud infrastructure while bridging the gap between development and operations. You will participate in the full lifecycle management of compute products and design architectures focused on high availability and scalability.
Provide first-line technical support for customers via chat, email, and phone regarding cloud, CDN, and AI products. Diagnose technical issues and escalate complex incidents to higher-level support teams.
Deploy and operate Linux-based infrastructure to support a global Edge Cloud platform. Automate infrastructure lifecycle management and improve platform reliability, scalability, and observability.
Provide first-line technical support via chat, email, and phone for products including Cloud, CDN, and AI. Perform technical diagnostics to resolve issues or escalate them to higher support levels.
Design and maintain the Traffic Management System API and agents to manage global routing and traffic-steering. Develop BGP and Anycast routing capabilities while ensuring system reliability through automated failover and observability.
Design, develop, and maintain automated test suites and frameworks for backend services and APIs. Integrate automated testing into CI/CD pipelines and collaborate with cross-functional teams to improve product reliability and scalability.
Design, develop, and maintain automated test suites and frameworks for backend services and APIs. Integrate automated testing into CI/CD pipelines and collaborate with cross-functional teams to improve product reliability and scalability.
Design and implement Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads. Develop Go-based controllers, operators, and APIs to optimize GPU scheduling and serverless container workflows.
Act as the final escalation point for complex Cloud infrastructure issues, diagnosing and resolving advanced incidents across compute, storage, and networking. Coordinate high-severity incident resolution with Engineering and DevOps teams while mentoring L1 and L2 engineers.
Lead the design, deployment, and maintenance of edge network infrastructure to ensure high availability and security. Mentor engineers and implement automation for system provisioning, monitoring, and configuration management.
