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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Research Infrastructure Engineer - **Company:** ScienceJobs.Org - **Location:** Augusta, GA, United States - **Experience:** Expert - **Salary:** $95,200.0 - $121,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Backup Devices, Cloud Computing, Data as a Services, Extract Transform Load (ETL), Linux, Disaster Recovery, Systems Theories, Monitoring of Systems, Linux System Administration, Performance Tuning, Cloud Services, Security Support Provider Interface, Systems Integration, Virtualization Technology, Scripting, AI Platforms, Enterprise Integration, Hardware Infrastructure, Software Version Control, Data Pipelines - **Published:** September 3, 2026 - **Apply:** https://sciencejobs.org/job/job/apply?id=7349338 ## About the Role Bachelor's degree from an accredited college or university and six years of experience in research computing or systems administration OR Associate's degree from an accredited college or university and eight years of experience in research computing or systems administration., 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. 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 support practices used in infrastructure administration. SKILLS Detail-oriented with strong prioritization and organizational skills. Linux administration, infrastructure support, and systems troubleshooting. Storage administration, system monitoring, backup support, and performance tuning. Scripting, automation, and operational support across infrastructure services. Cloud, virtualization, and hybrid environment support. Strong written and verbal communication, documentation, and customer support skills. ABILITIES Ability to maintain confidentiality. Design, implement, support, and optimize research infrastructure services across complex technical environments. Analyze infrastructure, system, and performance issues and develop effective technical solutions. Support secure and reliable infrastructure services that enable research systems, applications, and data workflows. Apply compliance, governance, and security standards to infrastructure operations and technical environments. Collaborate effectively with architects, engineers, security teams, vendors, and research stakeholders. ## Description 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. This position is responsible for building, operating, and optimizing secure, scalable, and resilient infrastructure platforms, including compute, storage, networking, data center services, GPU and accelerator-based resources, and AI-enabled environments, that 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 INFRASTRUCTURE DESIGN AND OPERATIONS: Design, implement, maintain, and optimize infrastructure that supports research computing, HPC, AI workloads, storage, backup, and related enterprise services. TECHNICAL DOCUMENTATION AND STANDARDS: Maintain technical documentation, standards, configuration records, architecture documentation, and operational procedures. INFRASTRUCTURE COLLABORATION AND SOLUTIONS: 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. SYSTEMS SECURITY AND INTEGRATION: Support identity, access, security, networking, system integration, and data movement requirements for research computing, HPC, and AI-enabled environments. INFRASTRUCTURE PLANNING AND UPGRADES: Plan and implement infrastructure upgrades, patching, capacity improvements, automation, and lifecycle management activities for research computing, HPC, and AI platforms. INFRASTRUCTURE MONITORING AND SUPPORT: 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [JavaScript? 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