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