Senior Site Reliability Engineer -AI Infrastructure Operations

Nscale is a GPU cloud engineered for AI, providing high-performance infrastructure for AI-native startups and global enterprises. They are seeking a Senior Site Reliability Engineer to design, build, and operate reliable, scalable infrastructure across their GPU cloud, focusing on hands-on engineering and operational excellence.

Responsibilities:

• Design, build, and improve automation, tooling, and infrastructure systems supporting AI and HPC workloads
• Contribute to the development of control-plane systems and operational frameworks
• Define and implement SLOs, SLIs, and monitoring strategies to ensure system reliability
• Participate in incident response and root cause analysis, driving improvements to reduce recurrence
• Identify and address reliability and performance bottlenecks across systems
• Collaborate with Engineering, Network, and Fleet teams to improve system design and operational processes
• Drive improvements in availability, scalability, and operational efficiency
• Mentor junior engineers and contribute to a strong engineering and reliability culture

Requirements:

• 5–8+ years of experience in SRE, Systems Engineering, or Software Engineering in production environments
• Strong software engineering skills with experience building automation and infrastructure tooling
• Solid understanding of Linux systems, networking, and distributed systems
• Experience troubleshooting issues across infrastructure, OS, networking, and application layers
• Familiarity with monitoring, alerting, and observability tools
• Ability to balance reliability, performance, and delivery speed
• Experience with AI or HPC environments, including GPUs or high-performance systems
• Exposure to high-speed networking (InfiniBand/RDMA)
• Familiarity with Kubernetes, cloud platforms, or bare-metal environments
• Experience with observability systems in high-scale environments