AI Infrastructure Engineer (sre) Bangalore

Together AI Together AI · Data AI · Remote · Engineering

AI Infrastructure Engineer (SRE) responsible for the availability, reliability, and scalability of user-facing services and production systems, specifically focusing on GPU-enabled Kubernetes clusters for ML training and inference.

What you'd actually do

  1. Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
  2. Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
  3. Build monitoring systems to ensure the highest quality service for our customers
  4. Design and implement operational processes (such as deployments and upgrades)
  5. Debug production issues across all services and levels of the stack

Skills

Required

  • SRE
  • GPU-enabled Kubernetes clusters
  • AI infrastructure
  • machine learning training and inference workloads
  • Ansible
  • Terraform
  • Kubernetes
  • monitoring and observability
  • cloud services

Nice to have

  • systems (operating systems, storage subsystems, networking)
  • algorithms
  • distributed systems
  • programming/scripting languages

What the JD emphasized

  • operating GPU-enabled Kubernetes clusters or AI infrastructure supporting machine learning training and inference workloads

Other signals

  • AI infrastructure
  • GPU-enabled Kubernetes clusters
  • machine learning training and inference workloads