Senior Backend Engineer

About the role

This role sits at the intersection of distributed systems, cloud infrastructure, and AI platform engineering — enabling large-scale model training, inference, and orchestration across heterogeneous compute. This is not a traditional backend role; you will be building platform-grade systems that support AI runtimes, scheduling, resource orchestration, and multi-tenant cloud infrastructure.

What you'll do

• Build internal APIs powering model deployment, job scheduling, and compute lifecycle management
• Develop components interfacing with GPU/compute infrastructure and AI runtimes
• Design and scale microservices and event-driven systems for high-throughput AI workloads
• Optimize for low latency, high concurrency, and fault tolerance
• Implement service-to-service communication (gRPC/REST, message queues, async pipelines)

What you need

• 8–14 yrs of experience
• SQL
• Python
• Kubernetes
• Microservices
• Docker
• AWS
• Any graduate

Good to have

• PyTorch
• TensorFlow
• PostgreSQL
• Redis
• Kafka
• Machine learning