Job Description

Cloud Architecture & Operations
Build and operate HPC environments on cloud platforms such as:
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform
Design hybrid-cloud and multi-cloud architectures for HPC workloads.
Implement cloud-native storage, networking, security, and disaster recovery solutions.

Infrastructure Automation & DevOps
Develop Infrastructure as Code (IaC) using:
Terraform
CloudFormation
Ansible
Python code
Build CI/CD pipelines for infrastructure and platform deployments.
Automate cluster provisioning, configuration management, monitoring, and patch management.
Develop self-service provisioning frameworks for research and engineering teams.

AI & Data Engineering
Design and implement scalable AI/ML data pipelines.
Build data ingestion, transformation, and orchestration frameworks.
Support distributed AI training and inference workloads.
Optimize GPU utilization for deep learning applications.
Collaborate with Data Scientists and ML Engineers to deploy production AI solutions.





Platform Monitoring & Reliability
Implement observability solutions using: Prometheus, Grafana, ELK Stack, OpenTelemetry
Monitor system performance, capacity planning, and SLA compliance.
Troubleshoot performance bottlenecks across compute, storage, network, and AI frameworks.

HPC Infrastructure Engineering
Design, deploy, and manage large-scale HPC clusters across on-premises and cloud environments.
Administer compute, storage, networking, and GPU resources for AI/ML and data-intensive workloads.
Optimize cluster performance, scheduling, and resource utilization using workload managers such as: Slurm, LSF, PBS Pro, Kubernetes

Security & Governance
Implement security best practices for HPC and cloud settings.
Manage IAM, secrets management, encryption, and compliance controls.
Support regulatory requirements and enterprise governance standards.

📌 Hpc & Cloud Engineer Bengaluru
🏢 Sandisk
📍 Bengaluru