Sr. Associate System Administrator - Advanced Scientific Computing

In this vital role you will build and maintain leading edge scientific computing environments used by research scientists to drive Amgens innovation.

In addition to intimate knowledge of Linux system administration, the ideal candidate is expected to have experience using infrastructure-as-code tools such as Ansible, Docker or Terraform to deploy updates from source control repositories or CI/CD Pipelines. This role demands the ability to drive and deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure.

• Manage infrastructure that supports high-performance computing (HPC) environments that support research work such as data science, computational chemistry, structural biology and image analysis.
• Install and maintain operating systems and application software that support research work.
• Ensure HPC systems are secure, reliable, scalable and cost-effective.
• Provide documentation, training and technical support to scientists using HPC systems.
• Continuously upgrade skills and knowledge in line with the evolving scientific computing landscape.
• Ensure effective communication between stakeholders, including conveying technical ideas to both business and technology partners.

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

• Master's degree / Bachelor's degree with 5- 9 years of experience in Computer Science, IT or related field with hands-on Linux system administration OR

Preferred Qualifications:

• Linux/Unix system administration
• Experience with Infrastructure-as-code technologies such as Ansible, Docker or Terraform.

• Experience in cloud computing (preferably AWS) and cloud architecture.
• Experience supporting research in healthcare life sciences and familiarity with administration of scientific software tools such as Schrodinger, CryoSparc, SBGrid
• Experience with Kubernetes (EKS) and service mesh architectures.
• Experience in an Agile development environment.
• Proficiency with job scheduling and resource management tools (SLURM, PBS, LSF, etc.).
• Understanding of networking architecture and security best practices.

• SAFe for Teams certification (preferred)
• AWS Certified SysOps Administrator (preferred)

• Strong analytical and problem-solving skills.
• Ability to work effectively with global, virtual teams
• Effective communication and collaboration with cross-functional teams.
• Ability to work in a fast-paced, cloud-first environment.