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Senior High-Performance Computing Engineer
Clovertex
Remote · remote · Posted 5d ago
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Section · 01
About this role
Senior High-Performance Computing (HPC) Engineer | Clovertex
Company Description Clovertex specializes in designing, building, and migrating scientific research High-Performance Computing (HPC) and data platforms on AWS. We help research organizations modernize their infrastructure using cloud-native, containerized, and hybrid architectures while optimizing performance, scalability, and cost. Our team has developed proven migration patterns for leading scientific applications including Single Cell Sequencing, GROMACS, NAMD, ANSYS, RELION, cryo-EM, cryoSPARC, and NONMEM. Beyond HPC, we deliver solutions across Big Data, Data Lakes, and AI/ML platforms, enabling data-intensive and research-driven organizations to accelerate innovation.
About the Role We are looking for an experienced Senior HPC Engineer to join our growing team in Hyderabad. In this role, you will design, implement, migrate, and optimize cloud-based HPC environments supporting scientific research, AI/ML, and data-intensive workloads. You will work closely with researchers, cloud architects, and engineering teams to deliver highly scalable, reliable, and cost-efficient HPC solutions on AWS. This is an excellent opportunity to work on cutting-edge technologies at the intersection of Cloud, HPC, AI/ML, and Scientific Computing. 📍 Location: Hyderabad (Hybird/Remote) 🕒 Employment Type: Full-Time 💼 Experience: 5+ Years
Key Responsibilities Design, deploy, and optimize AWS-based HPC architectures and clusters. Configure and manage workload schedulers such as Slurm, PBS, and AWS Batch. Administer and optimize Linux-based HPC environments. Migrate, benchmark, and tune scientific applications for cloud performance. Develop Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools. Automate deployment and operational processes using scripting and DevOps practices. Implement and manage containerized HPC workloads using Docker and Kubernetes (EKS/ECS). Troubleshoot performance, storage, networking, and application-level issues. Collaborate with researchers, data engineers, and cloud architects to deliver innovative solutions. Monitor cluster health, utilization, scalability, and cost optimization. Create technical documentation, runbooks, and architecture best practices. Mentor team members and contribute to HPC solution accelerators and reusable frameworks.
Required Qualifications 5+ years of experience in High-Performance Computing (HPC). Strong knowledge of HPC cluster architecture, scheduling systems, and performance optimization. Hands-on experience with AWS services including EC2, EKS/ECS, FSx, S3, Batch, and Lambda. Expertise in Linux administration and troubleshooting. Experience with Slurm, PBS, AWS Batch, or similar workload scheduling technologies. Proficiency in Python, Bash, or Shell scripting. Experience with Infrastructure as Code tools such as Terraform or CloudFormation. Strong understanding of networking, storage, distributed computing, and cluster management. Excellent analytical, communication, and problem-solving skills. Preferred Qualifications Experience with scientific applications such as GROMACS, NAMD, ANSYS, RELION, cryoSPARC, NONMEM, or genomics workloads. Knowledge of container orchestration platforms such as Kubernetes. Exposure to Big Data, Data Lake, and AI/ML platforms. Experience with CI/CD pipelines and DevOps practices. Familiarity with multi-cloud environments and hybrid cloud architectures. Experience supporting Healthcare, Life Sciences, and Scientific Research organizations.
Why Join Clovertex? ✅ Work on cutting-edge Cloud, HPC, AI/ML, and Big Data technologies. ✅ Partner with leading Healthcare, Pharma, and Research organizations. ✅ Solve complex scientific computing challenges at scale. ✅ Join a collaborative, innovation-driven team. ✅ Accelerate your professional growth with hands-on exposure to enterprise-scale research platforms.
📩 Interested? Apply now or reach out directly. Know someone who would be a great fit? Feel free to share this opportunity with your network.
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Section · 02