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