Systems Engineer

Vanderbilt University Medical Center

Systems Engineer operating Vanderbilt University's AWS, GPU/AI, database, and security infrastructure. Enabling sensitive national security research through resilient systems and direct researcher support.

Posted 8/21/2026full-timeNashville • Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating hybrid AWS and on-premises GPU/AI computing environments, with strong skills in Linux administration, infrastructure-as-code, and database management. Proficient in implementing security measures and managing data pipelines to support research initiatives.

Highest-signal resume keywords

AWS AdministrationLinux AdministrationInfrastructure-As-CodeDatabase AdministrationGPU Compute for AI/ML

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSLinuxTerraformAnsibleBashPythonPostgreSQLNoSQLETLCUDA

Tools & Technologies

GPU SystemsResearch DatabasesNetwork SecurityIntrusion Detection/Prevention SystemsVPNs

Certifications & Qualifications

AWS CertificationLinux CertificationSecurity Certification

Industry Keywords

AIMachine LearningData SensitivityDisaster RecoveryAccess Control

Tech Stack

Tools & technologies

AnsibleAWSCloudETLLinuxNoSQLPostgresPythonTerraform

About the role

Key responsibilities & impact

Design, architect, and operate the Wicked Problems Lab's hybrid AWS and on-premises GPU/AI computing environment
Scale storage and GPU capacity to meet workload demand
Engineer resilience through monitoring, backup, and disaster recovery
Own workload placement across cloud and local systems based on cost, performance, and data sensitivity
Administer Linux servers end to end
Manage configuration as code using Terraform, Ansible, and scripting
Own SSH/key lifecycle and access across a distributed fleet
Stand up, secure, tune, and back up research databases
Build and maintain reliable ETL and data-transfer/movement pipelines
Harden systems through patch/vulnerability management, segmentation, secrets management, and endpoint detection and response
Enforce access control and sensitive-research data handling requirements
Serve as the first point of contact for researchers' systems needs and AI/developer tooling
Configure and troubleshoot routers, switches, VPNs, and network segmentation
Capture and analyze network traffic at the packet level
Deploy and tune intrusion detection/prevention systems to monitor and investigate anomalous activity
Report administratively and functionally to the Director of the Wicked Problems Lab
Perform other duties as needed

Requirements

What you’ll need

Bachelor's in Computer Science/Engineering or related field is necessary; equivalent experience may substitute
4+ years hands-on systems/infrastructure administration is necessary
Demonstrated command of AWS and strong Linux administration
Experience operating GPU compute for AI/ML, including CUDA stack and model serving/fine-tuning, is necessary
Infrastructure-as-code using Terraform/Ansible
Scripting using Bash/Python
Database administration with PostgreSQL, NoSQL, or comparable databases
ETL/data-movement pipelines
Working systems and network security knowledge
Relevant AWS/Linux/security certifications preferred
Experience with enterprise-class NVIDIA GPU systems preferred
U.S. citizenship and ability to obtain/maintain a U.S. security clearance preferred

Benefits

Comp & perks

Equal-opportunity employment
Opportunities for professional growth and development
Hybrid work arrangement