Builds, maintains, and scales multi-cloud GPU infrastructure for AI training/inference, focusing on reliability, performance tuning, automation, and security in a fast-paced startup. Requires 8+ years SRE experience with deep Linux, cloud, and high-performance networking expertise.
170k – 360k/yr
Remote8+ YOEDevOps / SRE
About the role
What You’ll Do
Architect for Reliability & Scale: Participate in critical re-architecture sessions to redesign our systems for higher efficiency and scale.
Own Multi-Cloud GPU Clusters: Take end-to-end ownership of our production clusters for training and inference across AWS and OCI, ensuring high availability and peak performance.
Drive Security & Compliance: Assist in achieving and maintaining security certifications (SOC 2 Type 1 & 2, ISO standards) by implementing robust infrastructure security practices.
Deep Linux Performance Tuning: Use your mastery of Linux systems to troubleshoot and optimize performance at the OS and kernel level.
Build Robust Automation: Write high-quality tools and automation in Python, Go, or Bash to manage, monitor, and heal our infrastructure.
Debug Complex Hardware/Software Failures: Serve as the final escalation point for the most challenging GPU, networking (InfiniBand/RDMA), and system-level issues.
Who You Are
8+ years of experience as an SRE, production engineer, or infrastructure engineer in a fast-paced, large-scale environment.
Deep Linux mastery: hands-on expertise in Linux, containerized systems, and debugging low-level system performance.
Cloud infrastructure expert: strong experience with providers like AWS or OCI.
Tenacious troubleshooter for hardware/software intersections.
Security-minded with knowledge of SOC 2 and ISO compliance.
Expert in high-performance networking: InfiniBand, RDMA, or RoCE.
What Sets You Apart (Bonus Points)
Deep expertise with GPU tooling for NVIDIA and AMD GPUs like DCGM or ROCm.
Experience managing large-scale GPU clusters for AI/ML workloads.
Familiarity with job management systems based on Kubernetes or orchestration frameworks like Ray.
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