Job Opportunities API

The Senior Cloud Engineer  is responsible for designing, implementing, and managing large-scale high-performance computing (HPC) platforms on AWS for scientific and research-driven workloads. This role provides architecture oversight, technical leadership, and hands‑on engineering support, while ensuring operational excellence and strategic alignment with enterprise goals. As the cloud engineer, you will guide a distributed engineering team, collaborate with scientific and IT stakeholders, and introduce emerging technologies that enhance HPC scalability, reliability, and automation. The role requires deep expertise in AWS HPC architecture, strong leadership capabilities, and the ability to operate autonomously in complex environments. Requirements AWS HPC Architecture & Engineering Architect scalable HPC solutions using AWS ParallelCluster, AWS Batch, EC2 Spot, Auto Scaling, and other core AWS services. Design computing environments supporting computational chemistry, molecular dynamics, genomics, and high‑throughput scientific workloads. Develop and optimize data storage solutions using S3, EFS, FSx for Lustre, and high-performance data access patterns. Engineering Leadership & Delivery Management Drive the planning, execution, integration, and operationalization of HPC projects. Ensure delivery quality, cost efficiency, and alignment with enterprise cloud strategy. Operations & Platform Management Oversee cluster operations, job scheduling (Slurm), compute scaling, patching, and incident response. Implement best practices for observability using CloudWatch, Prometheus, Grafana, and logging frameworks. Ensure high availability, reliability, and performance of HPC workloads and underlying infrastructure. Automation & CI/CD Build infrastructure using Terraform and CloudFormation with fully automated IaC delivery pipelines. Deploy cloud-native automation for cluster lifecycle management, cost optimization, and environment provisioning. Innovation & Emerging Technologies Lead PoCs to evaluate new HPC frameworks, containerization strategies (Docker, Singularity), and workflow engines (Nextflow, Cromwell). Recommend architectural enhancements and modernization approaches. Stakeholder Engagement Communicate architecture, progress, risks, and recommendations to technical and non‑technical stakeholders. Collaborate with scientific computing, research, security, and enterprise architecture teams. Act as a trusted advisor to business partners on HPC and cloud-enabled computing. Technical Skills & Competencies Cloud & HPC Expertise Deep experience designing HPC systems on AWS (ParallelCluster, Batch, EC2 Spot, FSx for Lustre). Strong Linux administration and troubleshooting skills. Expertise in parallel computing technologies (MPI, OpenMP), job schedulers (Slurm), and distributed systems. Automation & DevOps Strong Terraform and CloudFormation experience Hands-on CI/CD experience (GitHub Actions, GitLab CI, Jenkins) Experience managing multi-account AWS org structures Performance & Optimization Skilled in tuning compute, storage, and network performance for HPC workloads. Strong knowledge of cost optimization strategies for large cluster deployments. Communication & Collaboration Ability to simplify complex HPC/cloud architectures for broader audiences. Strong cross-functional influence and stakeholder management skills. Leadership Expectations Able to work across regions, functions, and cultures. Excellent written and verbal communication skills. Demonstrates a mindset of diversity, inclusion, and continuous learning. Inspires collaboration, accountability, and innovation. Decision-Making & Autonomy Makes high-impact architectural and operational decisions independently. Incorporates diverse stakeholder input to develop robust solutions. Drives rapid and high-quality implemen