AI Infrastructure Site Reliability Engineer; remote
Position: AI Infrastructure Site Reliability Engineer (remote USA) The application window is expected to close on: 03/28/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . The application window is expected to close on: 12-25-25 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Work location: Remote withing USA Meet the Team At Cisco, the AI Infrastructure Services team is at the forefront of integrating artificial intelligence into our platforms, transforming collaboration, security, networking, observability, and more. We design, build, and maintain high-performance compute and AI platforms-including NVIDIA DGX and Cisco-UCS infrastructure-to empower Cisco's business and drive innovation. Working alongside top AI experts, you'll contribute to ethical AI products and solutions that solve real-world problems and shape the future of technology. Your Impact As an AI Site Reliability Engineer, you will: - Leverage SRE practices to reduce toil and maintain Service Level Objectives (SLOs) for internal AI platforms. - Lead, build, and run fully automated pipelines through CI/CD systems for operational excellence and continuous improvements. - Ensure the availability, scalability, latency, and efficiency of NVIDIA DGX and Cisco-UCS infrastructure using fault-tolerant engineering approaches. - Drive capacity planning, performance analysis, instrumentation, and other non-functional requirements. - Automate operational capabilities using Python, Ansible, Terraform, Go, and related technologies. - Deliver automation through CI/CD pipelines and chatbot integrations. - Implement metrics-driven processes to maintain high service quality. Minimum Qualifications - Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent years of IT experience. - 5+ years Experience deploying and administering NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g., Cray, HPE, IBM). - 5+ years coordinating and supporting Linux-based operating systems. - 5+ years Proficiency in programming languages such as Python, Go, C/C++; experience with Git and CI/CD systems (e.g., Git Lab, Git Hub Actions, Jenkins). - 5+ years experience deploying enterprise-grade Kubernetes clusters (Red Hat Open Shift preferred) and/or Google Anthos. - Advanced knowledge of Kubernetes, Docker, Terraform, Ansible, Jenkins, Git Ops, Git, and Linux. - 5+ years Experience with the software development lifecycle: design, development, testing, packaging, and deployment (preferably using Python or Go). Preferred Qualifications - Master's degree or equivalent experience in a relevant field. - Certifications in Linux, networking, cloud, or related technologies. - Previous experience as a compute or site/systems reliability engineer. - Experience with hybrid cloud, virtualization, and container technologies. - Familiarity with Agile and Dev Ops operating models, including project tracking tools (e.g., Jira, Rally). - Excellent collaboration, leadership, and communication skills. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive… Apply tot his job Apply To this Job