ML DevOps / Cloud Infrastructure Engineer

🚀 Hiring |

ML DevOps / Cloud Infrastructure Engineer | Novus Hi-Tech Robotics We are looking for a highly driven DevOps / Cloud Infrastructure Engineer to architect and scale mission-critical infrastructure supporting AI training,

MLOp s, Digital Twin environments, and large-scale monitoring systems . 🔹 About the Ro leTraining world-class Physical AI models requires a unique infrastructure ecosystem — massive GPU fleets, ultra-high-throughput storage, distributed computing, and secure sovereign deployments. You will play a foundational role in building and scaling this global infrastructure platfor m. 🔹 Key Responsibilit

• iesGPU Fleet Manageme nt: Architect and manage large-scale compute clusters, optimizing for performance, cost, and graceful failure handli
• ng.Distributed Computi ng: Deploy and scale frameworks for distributed training and inference across heterogeneous environmen
• ts.Sovereign Infrastructu re: Design "air-gapped" versions of our platform that can run entirely on-premises for privacy-conscious custome
• rs.Observabili ty: Build comprehensive monitoring and alerting for complex ML workloa ds. 🔹 Key Qualificat
• ionsCloud & Orchestrat ion: Expert-level knowledge of major cloud providers and container orchestration at sc
• ale.Distributed Syst ems: Proficiency in managing distributed training frameworks and high-throughput storage soluti
• ons.Automat ion: Mastery of Infrastructure-as-Code and modern CI/CD practi
• ces.Secur ity: Deep understanding of network security and private/sovereign infrastructure des
• ign.3–5 years of experience with Bachelor’s or Master’s Degree Computer Science Engineering / Artificial Intelligence / Data Enginee ring 🔹 Ideal Backg roundWe are looking for engineers who have worke d on:• Large-scale AI/ML infrastructure plat forms• GPU-intensive compute environ ments• Cloud-native distributed sy stems• High-performance data infrastructure and MLOps ecosy stems• Secure enterprise or air-gapped deploy ments