About the job:
We are seeking a skilled Data Platform Engineer with expertise in High-Performance Computing (HPC) and cloud computing to support our scientific research activities globally (Canada, US, France and Germany mostly). The ideal candidate will have experience in managing and optimizing Linux-based HPC environments, as well as proficiency in AWS cloud services. This role involves collaborating with various R&D groups to provide technical support and drive continuous improvements in our computing infrastructure. The candidate should be adept at handling both open-source and commercial software across different R&D fields.
What you will be doing:
Support in-silico activities in the Boston area, including the installation, configuration, and optimization of Linux workstations and applications.
Provide continuous improvements and maintenance of the current Linux environments.
Manage and optimize AWS cloud resources, including key services such as Amazon FSx for Lustre, EC2, S3...
Collaborate with research teams to understand their computational needs and provide tailored solutions.
Ensure the security, scalability, and efficiency of cloud-based scientific workflows.
Troubleshoot and resolve technical issues in both on-premises and cloud environments.
Handle the compilation, installation, and maintenance of open-source software and commercial applications.
Stay updated with the latest advancements in HPC and cloud technologies to recommend and implement improvements.
Main responsibilities: -
Proven experience in managing and optimizing Linux-based HPC environments.
Strong proficiency in AWS cloud services, particularly Amazon FSx for Lustre, EC2, S3.
Knowledge of cloud architecture, including network design, storage solutions, and security best practices.
Familiarity with scripting languages such as Bash, Python, or Perl for automation and system administration tasks.
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Ability to compile, install, and maintain open-source software and commercial applications.
Strong problem-solving skills and the ability to work independently and in a team.
Excellent communication skills to collaborate effectively with researchers and technical teams.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Preferred Qualifications:
Experience with other cloud platforms (e.g., Google Cloud, Azure).
Knowledge of bioinformatics or scientific computing workflows.
Experience in working with HPC schedulers (SLURM, PBS, Grid Engine etc...)
Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
Certifications in AWS or other cloud platforms.
Experience with software tools in various R&D fields, such as:
Drug Design and Molecular Modeling:
Schrodinger, Moe, Amber, Gromacs, NAMD, AlphaFold.
Genomics and Data Analysis:
NGS pipelines (Cellranger), KNIME, R/RStudio/RShiny.
Pharmacokinetics and Clinical Simulations:
Monolix, Matlab, R/RStudio, Julia.
Structural Biology and Imaging:
CryoSparc, Relion, CCP4, Pymol.
Why choose us?
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.