HPC & Cloud Engineer

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: P rometheus, 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 environments. Manage IAM, secrets management, encryption, and compliance controls. Support regulatory requirements and enterprise governance standards.Qualifications 5+ years of experience in DevOps and Cloud infrastructure management Technical Skills Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or related field. Strong experience with Linux system administration (RHEL, Rocky Linux, Ubuntu). Experience managing HPC clusters and distributed computing environments. Proficiency in Python, Bash, or Go . Hands-on experience with: Terraform, Ansible, Git, Jenkins/GitHub Actions Experience with container technologies: Docker, Kubernetes, Singularity/Apptainer Knowledge of AI/ML frameworks: TensorFlow, PyTorch, Ray, Spark Experience with GPU technologies and accelerator platforms. Cloud Skills AWS, Azure, or GCP architecture and operations. Cloud networking, storage, and security services. Hybrid cloud and HPC workload migration experience. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.