Description

Design and implement grid and cluster computing infrastructure optimized for AI/ML and NLP workloads using CPU and GPU resources.

This role is on-site.

Responsibilities

• Lead the design and implementation of grid/cluster computing infrastructure supporting AI/ML and NLP workloads.
• Build complex infrastructure programmatically using IaC tools like Terraform or Ansible.
• Design and support high-performance storage solutions including Object Storage.
• Manage network infrastructure to ensure high throughput and low latency for HPC computing.
• Apply CI/CD, DevOps, and SRE principles to maintain stable production environments.

Required Skills

• 3+ years of experience designing grid/cluster computing infrastructure with CPU and GPUs.
• 3+ years of experience with Azure and/or GCP/GKE.
• 2+ years of experience supporting high-throughput, low-latency network infrastructure for HPC.
• 2+ years of experience working with Elasticsearch.
• 1+ years of experience designing solutions with high-performance storage and Object Storage.
• 1+ years of experience working with BigQuery.
• Proficiency in Python for API development.
• Strong knowledge of cloud concepts including VPC, landing zones, IAM, App Service Environment, and Control Plane.

Preferred Skills

• Experience with LLM, Generative AI, Apache Spark, or data virtualization technologies.
• Experience developing APIs on GCP, Azure, or API Gateways.
• Knowledge of Kubernetes, PaaS design principles, microservices, and F5 Load Balancer technologies.

Key Skills

Education

Any Graduate