Job Summary:

The Scientific Computing Cloud Engineer will be responsible for developing and deploying supercomputing solutions in AWS supporting R&D, Clinical, and Manufacturing teams globally. The successful candidate will be the primary High-Performance Computing (HPC) Cloud engineer. This role requires a deep understanding of both on-premises and cloud-based HPC systems, as well as strong project management skills. The ideal candidate will have a background in life sciences and computer science, with a focus on supporting computational biology applications and AWS engineering.

Key Responsibilities

• Develop and deploy automated HPC workloads and workflows using AWS cloud services, including Parallel Cluster, FSx for Lustre, Batch, Terraform, and Cloud Formation.
• Manage high-performance parallel file systems such as Weka, understanding data and storage workflows, movement, tiering, and tracking.
• Act as the HPC data steward, ensuring data integrity and efficient data management practices.
• Design, implement, and manage cost effective on-premises and HPC Cloud systems, including job schedulers (e.g., Slurm) and cluster management tools (e.g., Linux scripting, Ansible).
• Architect and design HPC hardware and networking solutions, providing system troubleshooting and support for on-premises systems.
• Develop and maintain web portals and sites to facilitate HPC resource access and management.
• Lead and manage projects, ensuring timely and successful delivery of HPC solutions.
• Collaborate with cross-functional teams to align HPC strategies with organizational goals.
• Provide technical leadership and mentorship to junior engineers and team members
• Document, train, and educate users on best practices. Level 3 engineering support for most challenging technical issues.
• In this role, you will also be responsible for promoting a culture of excellence within the HPC team, fostering collaboration, innovation, and continuous improvement.