Senior Backend Engineer

Own design, implementation, and maintenance of fault-tolerant, performance-critical backend infrastructure and services on AWS and GCP.

Build and deploy scalable AI workflows, including generative AI model fine-tuning and inference pipelines, as well as custom AI agent and multi-agent systems frameworks.

Manage end-to-end release processes with security compliance, including API development (REST/Websocket) and cloud resource optimization.

Minimum 5 years hands-on experience developing large applications and end-to-end backend infrastructure.

Expert-level Python programming skills required.

Strong expertise across AWS and GCP cloud services covering compute, networking, storage, databases, containerization, serverless functions, and monitoring.

Proficient with containerization (Docker), orchestration (Kubernetes/EKS/GKE), and Infrastructure as Code (Terraform, CDK, or Cloud Deployment Manager).

Experienced backend engineer with deep cloud architecture skills specifically in both AWS and GCP environments.

Familiarity with Generative AI, large language models, datasets, fine-tuning, and inference indicates strategic fit for AI product development context.

Comfortable working in fast-paced, ambiguous startup environment requiring ownership of complex infrastructure and AI workflows.