Cloud Orchestration & Scheduling Architect (Ai Infrastructure)

Location : Bengaluru, Karnataka

About the Company :

Sustainability Economics.Ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion.

Role Summary :

We are seeking a Cloud Orchestration & Scheduling Architect to design and implement intelligent systems that dynamically balance AI workload demand, supply and compute capacity across cloud data centers. The role focuses on building orchestration, scheduling, and optimization frameworks for large-scale AI inference workloads, ensuring efficient use of compute, energy, and cost resources.

The ideal candidate will have strong experience in Kubernetes, distributed systems, and scheduling frameworks , with a deep understanding of how to align AI compute workloads with real-time demand and supply.

Key Responsibilities :

• Design and implement workload orchestration and scheduling systems for AI inference pipelines across distributed data centers.
• Develop mechanisms to match workload demand with available compute and supply , optimizing for performance, cost, and sustainability.
• Integrate predictive demand forecasting and energy availability data into scheduling decisions.
• Manage multi-region orchestration using Kubernetes, Ray, or similar distributed compute frameworks.
• Build automation to dynamically scale GPU / CPU clusters based on real-time and forecasted AI inference workloads.
• Implement cost-aware, and latency-aware scheduling policies for optimal workload placement.
• Build dashboards and observability tools to track compute utilization, cost efficiency.
• Continuously evaluate new frameworks and optimization algorithms to enhance system scalability and resilience.

Education & Experience :

Skills Required :

What You’ll Do :

What you will bring

Why Join Us