• Build and operate backend systems that serve AI-powered features in production. • Design inference pipelines, orchestration layers, and service boundaries around models. • Own production concerns: monitoring, logging, alerting, and incident response. • Optimize latency and throughput across inference, caching, batching, and streaming.

• Build and operate backend systems that serve AI-powered features in production. • Design inference pipelines, orchestration layers, and service boundaries around models. • Own production concerns: monitoring, logging, alerting, and incident response. • Optimize latency and throughput across inference, caching, batching, and streaming.

• Own the inference and orchestration layer that powers every AI interaction • Build and operate production systems turning model capability into fast, stable APIs • Monitor, log, alert, and respond to production incidents • Optimize latency and throughput across inference, caching, batching, and streaming

Role Description Candidate must be able to meet all CUI Requirements. - Splunk administrator that manages the system utilizing Linux cluster and management console applications. - 30% - management of daily Splunk operation systems. - 35% - Linux administration. - 10% - collaborate and liaise with other units and serve as a technical resource and subject matter expert. - 15% - contribute to research and development projects as required. - 10% - train and advise less skilled systems programmers and provide expert technical assistance for others. Qualifications - 5+ years of experience with Splunk Administration - 5+ years of experience with Linux Administration - 5+ years of experience with Bash Scripting Requirements - Splunk Certification Company Description