Full Stack Engineer, Fleet Scheduling

Responsibilities

• Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.
• Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends.
• Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation.
• Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.
• Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.
• Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.

Requirements

• Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js).
• Experienced in building scalable, high-performance web applications for complex distributed systems.
• Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).
• Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems.
• Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.

Nice-to-Haves

• Experience working with Kubernetes, Docker, and cloud-native application deployment.
• Understand AI/ML workload scheduling and orchestration challenges.
• Experience with real-time data processing, visualization libraries, and observability tooling.