Systems Engineer

• 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

• 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, No
  
  SQL, 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

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.

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

• AWS
• Linux
• Terraform
• Ansible
• Bash
• Python
• PostgreSQL
• No
  
  SQL
• ETL
• CUDA

• AWS Certification
• Linux Certification
• Security Certification

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

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