Job description

Job Title: HPC Lead & Operations Engineer

Company: Clovertex

Location: Hyderabad, India (Hybrid)

Experience: 8–10 Years

Role Overview

We are looking for an experienced HPC Lead & Operations Engineer to architect, operate, and support high-performance, cloud-based HPC platforms. You will be responsible for designing scalable infrastructure, ensuring operational excellence, and supporting scientific and AI-driven workloads across multi cloud environments.

This role requires a strong mix of HPC engineering, cloud operations, AI skill sets and user support, acting as a bridge between infrastructure and research teams.

Key Responsibilities

Design, deploy, and manage cloud-based HPC environments, primarily on AWS
(EC2, ParallelCluster, FSx, EFS, S3)
Manage day-to-day cluster operations including monitoring, incident handling, troubleshooting, and patching
Provide L2-L3 application support for scientific and computational workloads such as:
CryoSPARC, AlphaFold, GROMACS, RELION, Schrödinger Suite (Maestro/Desmond), SBGrid, etc.
Build and maintain CI/CD pipelines and Infrastructure-as-Code (IaC) for automated and repeatable deployments
Administer and optimize job schedulers (SLURM/PBS) for efficient resource utilization
Drive cost optimization, capacity planning, and auto-scaling strategies
Support AI/ML workloads running on HPC or hybrid infrastructure
Mentor team members and maintain clear operational documentation and runbooks

Must-Have Skills & Experience

8–10 years of experience in HPC administration and cloud infrastructure
Strong multi-cloud experience across AWS and Google Cloud Platform (GCP) with expertise in HPC and AI/ML workloads
- AWS: EC2, ParallelCluster, FSx, EFS, S3
- GCP: Compute Engine, Filestore, Cloud Storage, HPC Toolkit (or equivalent)
Hands-on experience supporting AI/ML workloads or frameworks (e.g., TensorFlow, PyTorch, distributed training environments) and Automations/Innovations
Strong Linux system administration expertise (RHEL, Amazon Linux, or similar)
Proficiency in Python and Bash scripting
Experience with:
- Schedulers: SLURM, PBS
- Parallel file systems: Lustre, GPFS, or equivalent
- Containers: Docker, Singularity/Apptainer
Expertise in Infrastructure-as-Code & automation tools
(Terraform, CloudFormation, Packer, Ansible, Git)
Proven experience in L2/L3 support for scientific or HPC applications
Familiarity with monitoring and observability tools
(CloudWatch, Prometheus, Grafana, or similar)

Nice-to-Have

Background in life sciences, bioinformatics, or drug discovery
Hands-on experience with Schrödinger Suite
Experience with Kubernetes (EKS/GKE) for HPC, Terraform AI workloads
Exposure to GPU computing and distributed training environments
Certifications such as AWS Solutions Architect, Google Cloud Professional Architect, or RHCE

Additional Details

📍 Hyderabad, India (Hybrid)
🕐 Afternoon shift (2PM to 11PM IST) with flexibility for global collaboration

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