Linux Systems Engineer: Scientific Computing (Hybrid)

ClearCompany Talent Management Software; Seattle (WA); Hybrid; USD 113,000 - 140,000; Full time

Job summary

Allen Institute in Seattle is seeking a Linux System Engineer to design, deploy, and manage IT infrastructure for a high-performance computing environment. You will work on cloud integrations, patching, cybersecurity, and scalable systems to support scientific computing.

The role emphasizes collaboration, automation, and ongoing learning within a hybrid Seattle-area work setting. Eligible for remote work within Washington State.

Qualifications

• Bachelor’s degree or equivalent combination of degree and experience required.
• At least one year of professional UNIX/Linux system administration experience.
• History of supporting highly available IT services in a 100+ server environment.
• Operational automation skills using shell or Python.
• Associate-level AWS certification (CloudOps Engineer or Solutions Architect).

Responsibilities

• Manage a Linux-based research environment with over 350 servers and workstations and 20 PB of storage.
• Help design, deploy, and upgrade IT infrastructure products and services supporting scientific computing.
• Engage in hardware and software lifecycle management.
• Manage patch deployment and troubleshooting on workstations and servers.
• Participate in the development of system standards, policies, and procedures.
• Manage scientific systems cybersecurity software agents and monitoring systems.
• Monitor system performance and plan for future scaling.
• Manage infrastructure resources in public cloud.

Skills

UNIX/Linux system administration

Automation with shell or Python

AWS certification

Education

Bachelor’s degree or equivalent

Tools

Docker

Kubernetes

OpenStack

VMware

Salt

Ansible

Slurm

Job description

Allen Institute in Seattle is seeking a Linux System Engineer to design, deploy, and manage IT infrastructure for a high-performance computing environment. You will work on cloud integrations, patching, cybersecurity, and scalable systems to support scientific computing.

The role emphasizes collaboration, automation, and ongoing learning within a hybrid Seattle-area work setting. Eligible for remote work within Washington State.