Senior Research Systems Engineer

Responsibilities

• Design, implement, maintain, optimize, and support research technology systems, enterprise platforms, and interoperable solutions that support research administration, compliance, operational workflows, research computing, HPC, and AI-enabled services.
• Analyze system requirements, troubleshoot issues, and implement enhancements, upgrades, patches, performance improvements, and configuration changes across assigned research systems and computing platforms.
• Develop, support, and maintain integrations, data flows, automation, APIs, and technical solutions that improve interoperability, reliability, security, compliance, and efficiency across research systems and shared infrastructure.
• Provide mentoring, cross-training, and advanced technical guidance to team members and users to support effective, sustainable use of research systems, shared computing resources, and related technologies.
• Create and maintain technical documentation, standards, procedures, configuration records, and system support materials for research platforms, integrations, and operational workflows.
• Collaborate with researchers, faculty, administrators, vendors, and IT teams to gather requirements, plan changes, design solutions, and support project delivery aligned with institutional standards, regulatory requirements, and evolving research needs.
• Perform other duties as assigned in support of research computing, HPC, AI-enabled environments, institutional priorities, and divisional goals.

Qualifications

• Bachelor's degree from an accredited college 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 technology and computing services in a higher education, research, or academic medical center environment.
• Experience integrating research and enterprise systems, platforms, or data sources in a complex institutional setting.
• Experience supporting secure, compliant, and service-oriented technical environments used for research activities.
• Proficiency with scripting, automation, version control, and related tools used in systems support and operational efficiency.
• Experience working in cross-functional teams with architects, engineers, vendors, and research stakeholders to deliver technical solutions.
• Research technology and computing systems, including research computing, HPC, AI, and related enterprise research services.
• Systems administration, APIs, ETL workflows, secure data exchange, and database connectivity across institutional platforms.
• Linux/Unix administration, scripting, automation, monitoring, troubleshooting, and performance optimization in complex service environments.
• Knowledge, Skills, & Abilities: Research technology and computing systems that support research operations, data services, and enterprise platforms. Linux/Unix operating systems, system integration methods, and distributed computing concepts. Databases, ETL processes, APIs, and secure data transfer methods. Compliance frameworks and institutional standards, including HIPAA, FERPA, GDPR, and IRB requirements. Scripting, automation, virtualization, containerization, and cloud technologies used in technical service environments.