Description

You will build and scale the infrastructure supporting AI platform capabilities.

This role is remote.

Responsibilities

• Design and maintain APIs, SDKs, and orchestration layers.
• Manage cloud infrastructure on GCP or AWS with a focus on security and cost optimization.
• Deploy and manage containerized services using Docker and Kubernetes.
• Implement performance monitoring to ensure system stability.

Required Skills

• 5+ years of professional software engineering experience.
• Strong proficiency in Python.
• Strong proficiency in TypeScript or JavaScript.
• Hands-on experience with GCP or AWS.
• Practical experience with Docker and Kubernetes.
• Deep understanding of API and SDK development.
• Proven ability in performance monitoring and orchestration.
• Any Graduate degree.

Preferred Skills

• GPU computing with CUDA for high-performance AI/ML workloads.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, TensorRT-LLM, or VLLM.
• Knowledge of data pipeline orchestration using Airflow or Dagster.

Key Skills

Education

Any Graduate