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 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 #J-18808-Ljbffr Jobtailor