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AI Infrastructure Engineer - GoLang, Kubernetes, Dockers, Linux - 8-12 years

Cisco · Bangalore, India

Full-time Posted 4 days ago

About this role

<p><b>Meet the Team</b><br /> </p><p>We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we’re building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible — faster, leaner, and smarter.</p><p>We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.</p><p>If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.</p><p><br /><b>Impact</b></p><p></p><p>Cisco is seeking an experienced and innovative <b>Control Plane Engineer </b>to develop the control plane for the next-generation AI infrastructure

This role focuses on designing and implementing scalable, reliable, and efficient control plane components to manage AI workloads. The ideal candidate will have a strong background in microservices architecture, Kubernetes, and distributed systems, along with expertise in modern programming languages and cloud-native technologies.</p><p>As AI Control Plane Engineer your work will have a significant impact on:</p><p><b>• </b>Enabling seamless orchestration and management of AI workloads across distributed environments.</p><p><b>• </b>Improving the reliability, scalability, and performance of AI control plane services.</p><p><b>• </b>Ensuring operational simplicity and ease of debugging for control plane services.</p><p><b>• </b>Driving innovation in control plane architecture to improve efficiency and performance of AI infrastructure.</p><

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