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Data Platform Engineer (HPC Applications)

Hyderabad, Inde
Budapest, Hongrie Permanent Posté le   Jul. 07, 2025 Expire le   Jul. 15, 2025
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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:

      • Schrödinger, 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?

  • Bring the miracles of science to life alongside a supportive, future-focused team.
  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
  • Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. 

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