AI Infrastructure Engineer
Together AI · San Francisco, CA · Engineering
About this role
Together AI is hiring a senior-level AI Infrastructure Engineer in the machine learning function based in San Francisco, CA. The posting calls out experience with Kubernetes, Terraform, Ansible, PagerDuty. Compensation is listed at $190,000–$270,000 per year.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Engineering
More roles at Together AI
Job description
from Together AI careersAs an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase.
You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems.
Responsibilities
- Participate in on-call rotation (Pagerduty) to respond to production incidents
- Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
- Build monitoring systems to ensure the highest quality service for our customers
- Design and implement operational processes (such as deployments and upgrades)
- Debug production issues across all services and levels of the stack
- Identify improvements for the product architecture from the reliability, performance and availability perspectives
- Plan the growth of Together AI's infrastructure
Requirements
- 5+ years of professional AI Infra or related experience
- Bachelor's degree in Computer Science or a related field or equivalent work experience
- Knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
- Proficiency in programming/scripting languages
- Direct experience in monitoring and observability practices