Systems Engineer

Jobtailor; Nashville (TN); Hybrid; USD 130,000 - 185,000; Full time

Job summary

Wicked Problems Lab in Nashville seeks a seasoned systems/infrastructure administrator to design and operate a hybrid AWS and on‑prem GPU/AI computing environment. You will scale GPU capacity, manage storage, and ensure disaster recovery with robust monitoring and security.

Responsibilities include workload placement, Linux administration, Terraform/Ansible for IaC, and database tuning. You will support researchers with AI tooling and secure data handling in a distributed fleet.

Qualifications

• Bachelor's in Computer Science/Engineering or related field, or equivalent experience.
• 4+ years hands-on systems/infrastructure administration is necessary.
• Demonstrated command of AWS and Linux administration.
• Experience operating GPU compute for AI/ML, including CUDA and model serving/fine-tuning.
• Infrastructure-as-code using Terraform/Ansible.
• Scripting using Bash/Python.
• Database administration PostgreSQL, NoSQL, or comparable databases.
• ETL/data-movement pipelines.
• Working knowledge of infrastructure security.

Responsibilities

• Design, architect, and operate the lab's hybrid AWS and on-prem 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 and Ansible.
• Own SSH/key lifecycle and access across a distributed fleet.
• Stand up, secure, tune, and back up research databases.
• Build and maintain ETL and data-transfer pipelines.
• Harden systems through patching, secrets management, and endpoint protection.
• Enforce access control and sensitive-data handling requirements.
• Serve as 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; deploy IDS/IPS systems.
• Report to the Director of the Wicked Problems Lab.

Skills

AWS Administration

Linux Administration

Infrastructure-as-Code

CUDA for AI/ML

Bash

Python

PostgreSQL

NoSQL

Scripting

Disaster Recovery

Education

Bachelor's in Computer Science/Engineering

Tools

Terraform

Ansible

CUDA

PostgreSQL

NoSQL

VPNs

Job description

• 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

• 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

Core Competencies

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 Administration
• Linux Administration
• Infrastructure-As-Code
• Database Administration
• GPU Compute for AI/ML

ATS Optimization Keywords

Hard Skills

• AWS
• Linux
• Terraform
• Ansible
• Bash
• Python
• PostgreSQL
• NoSQL
• ETL
• CUDA

Certifications & Qualifications

• AWS Certification
• Linux Certification
• Security Certification

Industry Keywords

• AI
• Machine Learning
• Data Sensitivity
• Disaster Recovery
• Access Control

Tools & Technologies

• GPU Systems
• Research Databases
• Network Security
• Intrusion Detection/Prevention Systems
• VPNs