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This listing was closed on Aug 13, 2026.
Browse Open JobsAI infrastructure Engineer (SRE) Amsterdam
Summary by AIEngineer.careers
AI infrastructure Engineer (SRE) Amsterdam is a AI Infrastructure Engineer role (full-time). with Together AI. in AMSTERDAM, NL. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
AMSTERDAM · NL
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Together AI is seeking an AI Infrastructure Engineer (SRE) to keep user-facing services and production systems running smoothly. The role involves on-call rotation, building infrastructure with Ansible, Terraform, and Kubernetes, designing monitoring systems, and debugging production issues. Requires 7+ years of SRE experience and expertise in cloud services and automation tools.
Responsibilities
- Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
- 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
- 7+ years of professional SRE or related experience
- Bachelor's degree in Computer Science or a related field or equivalent work experience
- Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
Together AI
San Francisco · US · 434+ employees
Together AI is an AI-native cloud platform that provides tools for generative AI development, including inference acceleration, model shaping, and pre-training. It offers GPU clusters and an inference engine to help developers scale AI applications.
