Job Description
Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate) DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced DevOps Engineer to work with engineering and QA teams to automate and optimize software and ML model development and validation, supporting existing and upcoming product lines, web applications, and strategic initiatives in 5G and "FutureG" programs. In this role, you will be a key contributor to expanding DevOps capabilities as our organization grows. Your responsibilities will include the research, design, development, procurement, provisioning, maintenance, and optimization of DevOps systems leveraging a mix of on-premise and cloud infrastructure. What You'll be Doing: System Architecture : Architect infrastructure to support the needs of internal engineering/QA teams, as well as commercial and DoD partners. Develop a plan to extend infrastructure both on-premise and in the cloud. Includes CI/CD, data storage, compute resources (CPU/GPU), and job orchestration. Engineering and Operations : Manage the full lifecycle of production systems, from initial system development and deployment to ongoing operation and maintenance ensuring availability requirements. Includes specifying, procuring, and provisioning hardware as necessary. Optimization : Optimize the utilization of CI/CD and compute infrastructure in collaboration with engineering and QA teams. Identify and address performance bottlenecks. What we need to see: Candidates must be authorized to work in the United States by US citizenship to meet certain information processing and contract requirements Hands-on experience developing, deploying and ongoin