Essential Skills/Experience
- Demonstrated expertise and 10+ years of hands-on experience operating, crafting, or engineering large-scale computing environments, with a main focus on High-Performance Computing (HPC) while having experience in DevOps practices.
- Demonstrable ability to drive innovative computational solutions and leverage emerging technologies within the Life Sciences domain, particularly in the Pharmaceutical Industry or Biotech sectors.
- Nice to have experience in administering large-scale cluster and server computing environments, utilizing related software such as Slurm, LSF, and Grid Engine.
- Hands-on experience collaborating within DevOps teams and applying agile methodologies to streamline operations and development processes.
- Providing comprehensive scientific software support for end-users, including configuration, installation, tuning, and maintenance.
- Proficiency in operating and managing virtualized private cloud resources, specifically with OpenStack.
- Solid understanding of Linux system administration, the TCP/IP stack, and storage subsystems.
- Knowledge in administering large-scale parallel filesystems, including GPFS and Lustre.
- Proven track record of using configuration management tools (e.g., Ansible, Salt, Puppet) and technology frameworks within IT operations.
- Experience in developing and managing relationships with third-party suppliers.
- Proficient in scripting and tool development for HPC and DevOps platforms using Bash and Python.
Desirable Skills/Experience
- Familiarity with operating and configuring public cloud computing infrastructure, such as AWS, Azure, or GCP.
- Experience in managing virtualized private cloud environments, particularly with OpenStack.
- Knowledge of container technologies (e.g., LXD, Singularity, Docker, Kubernetes).
- Demonstrated development experience across multiple programming languages, tools, and technologies (e.g., Java, C++, Python, Ruby, Perl, SQL, AWS).
- Familiarity with HashiCorp tools like Terraform, Vault, Consul, and Nomad.
- Experience in platform engineering, software engineering, and machine learning best practices, including version control, continuous integration (CI), continuous development (CD), containerization, and shell scripting.
- Bachelors degree required; emphasis on Computational, Physical, or Biological Science, Engineering, or related fields preferred. A Masters or Ph.D. is a plus.
- Solid understanding of analytic products and scientific computing software relevant to pharmaceutical R&D.
- Excellent written and verbal communication, teamwork, and collaboration skills.
