HPC Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate closely with customer stakeholders, scientists, and IT professionals to deliver Compute at Scale.

• Design, develop, and manage HPC platforms while providing support for Scientific applications, workflows, and related infrastructure, whether on-premises or cloud-hosted.

• Lead the architecture, roadmaps, and execution of projects to implement and maintain IT infrastructure best practices for customers.

• Provide full stack support, including platform design and evolution, application administration, customer workflow support, profiling, and performance tuning.

• Oversee monitoring and maintenance of designated systems, platform and systems administration, and troubleshooting of hardware, software, and networking issues.

• Engage in solution architecture and hands-on engineering for both on-premises and cloud environments.

• Maintain comprehensive documentation.

• Work collaboratively with cross-discipline team members and customers.

• Assist internal and customer Architecture and Design initiatives.

• Support customers with their workflow pipelines, offering both advisory and hands-on assistance.

• Thoroughly document new and existing computational assets.

• Exhibit flexibility to adapt as engagement scopes may change.

• Provide support for AWS and GCP Cloud applications, migrations, and modernization efforts.

• Implement CloudOps/IaC for ongoing platform management.

• Set up and configure AWS and GCP Cloud infrastructure for new platform builds.

• Ensure system compliance with company security policies and relevant regulatory standards.

• Facilitate transition support for modernized services to operational teams.

• Deliver engineering-level troubleshooting and service restoration for operational issues as they arise on supported platforms.

• Offer training and mentorship to junior team members.

• Serve as an escalation point across multiple engagements to guarantee resolution.

⛳️ Requirements

• A bachelor's degree or master's degree in Computer Science or a related field.

• Over 5 years of experience in administering HPC clusters and systems.

• Preferred experience with SLURM and Grid Engine scheduling software.

• More than 5 years of professional experience in Solution Architecture or Cloud Infrastructure Deployment and support.

• At least 5 years of professional experience in developing or managing compute solutions for Scientific/Research IT domains, with a preference for Life Sciences.

• Familiarity with POSIT products (Package Manager, Connect, Workbench) in either an end-user or administrator role.

• Experience in developing scientific workflows on HPC systems utilizing Nextflow.

• Extensive command-line system administration expertise, including user and group management.

• Advanced knowledge of Active Directory, DNS, DHCP, LDAP, NFS, and SMB.

• Proficient in building applications from source code, installing, maintaining, and troubleshooting application-level Linux and scientific software based on industry best practices.

• Experience with the installation and fine-tuning of Linux operating systems.

• Understanding of Linux package management systems and their maintenance.

• Intermediate knowledge of OS-level networking.

• Proficient with scripting tools, automation tools, and configuration management tools.

• Preferred experience with Ansible, Terraform, and Cloud Formation.

• Experience in administering and integrating Scientific/Research applications.

• Strong time-management skills; capable of completing projects promptly, planning, and prioritizing tasks while keeping leadership and stakeholders regularly updated on status.

• Excellent communication skills, including the ability to prepare written documentation for IT colleagues and end users.

• Proactive thinking skills to identify potential issues and possible solutions before incidents occur.

• Exceptional attention to detail is essential for interfacing with multiple clients simultaneously.

• Ability to comprehend and analyze complex technical problems and situations.

• Candidates should be passionate engineers with a strong vision and a commitment to staying informed about trends in the Scientific Computing sector.

• Ability to work independently or as part of a team.

• Capability to take projects from inception to completion with minimal supervision.

🏝️ Benefits

• Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.

• Company-provided Life and Long-Term Disability Insurance.

• Company-sponsored 401(k) Plan.

• Company-provided continuing education benefit.

• A team-focused culture with unlimited opportunities for advancement.