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Sr Research Infrastructure Engineer

Job in Augusta, Richmond County, Georgia, 30910, USA
Listing for: Augusta University
Full Time, Part Time, Seasonal/Temporary position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, IT Support, Cybersecurity
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Sr Research Infrastructure Engineer

Job

Location:

Augusta University

Full/Part Time:
Full Time

Job Summary

Provide advanced technical expertise for the design, implementation, maintenance, and operational support of research infrastructure services that support Augusta University's research enterprise, including research computing, high-performance computing, and artificial intelligence initiatives. The position is responsible for building, operating, and optimizing secure, scalable, and resilient infrastructure platforms—compute, storage, networking, data center services, GPU and accelerator-based resources, and AI-enabled environments—to support data‑intensive, computationally intensive, and regulated research workloads.

The Senior Research Infrastructure Engineer leads infrastructure planning, capacity management, performance optimization, and operational readiness to ensure reliable, sustainable, and secure access to institutional research computing resources across the university. This role also enables AI‑driven research and innovation through support for model development, training, inference, data pipelines, and the secure integration of emerging AI technologies into the broader research environment.

Responsibilities
  • Design, implement, maintain, and optimize infrastructure that supports research computing, HPC, AI workloads, storage, backup, and related enterprise services.
  • Maintain technical documentation, standards, configuration records, architecture documentation, and operational procedures.
  • Collaborate with researchers, faculty, vendors, and IT staff to assess infrastructure needs and deliver technical solutions aligned with research priorities, including AI‑driven and data‑intensive initiatives.
  • Support identity, access, security, networking, system integration, and data movement requirements for research computing, HPC, and AI‑enabled environments.
  • Plan and implement infrastructure upgrades, patching, capacity improvements, automation, and lifecycle management activities for research computing, HPC, and AI platforms.
  • Monitor, troubleshoot, and resolve infrastructure, system, storage, network, GPU, and performance issues to maintain secure, reliable, and highly available operations.
  • Perform other duties as assigned.
Required Qualifications
  • Bachelor's degree from an accredited college or university and six years of experience in research computing or systems administration.
  • Associate's degree from an accredited college or university and eight years of experience in research computing or systems administration.
Preferred Qualifications
  • Experience supporting research infrastructure services in a higher education, research, or academic medical center environment.
  • Experience supporting cloud, hybrid, and on‑premises infrastructure used for research technology and data services.
  • Experience supporting secure, compliant, and service‑oriented infrastructure environments used for research activities.
  • Proficiency with scripting, automation, monitoring, version control, and related tools used in infrastructure administration and operational support.
  • Experience working in cross‑functional teams with architects, engineers, security staff, vendors, and research stakeholders to deliver technical solutions.
  • Knowledge of research infrastructure services and technical platforms that support research computing, HPC, AI, and enterprise research operations.
  • Infrastructure administration across Linux/Unix systems, storage platforms, cloud services, virtualization, and hybrid environments.
  • Monitoring, troubleshooting, automation, performance optimization, and security support for complex infrastructure services.
Knowledge, Skills, & Abilities

Knowledge

  • Research infrastructure and computing environments that support research operations, data services, and enterprise platforms.
  • Linux/Unix operating systems, virtualization, cloud infrastructure, and hybrid technical environments.
  • Storage, backup, disaster recovery, system monitoring, and infrastructure performance concepts.
  • Compliance frameworks and institutional standards, including HIPAA, FERPA, GDPR, and IRB requirements.
  • Scripting, automation, security, and operational…
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