18 days ago
Paris, France +2 moreMid Level
Responsibilities
- Build and operate large-scale distributed systems powering AI-ready web search.
- Design, implement, and maintain infrastructure for indexing, retrieval, and monitoring.
- Automate deployment, scaling, and observability across environments.
- Optimize system performance, scalability, and resource usage.
- Participate in architecture discussions and system design.
- Collaborate with ML and backend teams on CI/CD and model deployment workflows.
- Write maintainable infrastructure code and participate in code reviews.
- Scale indexing clusters, embedding pipelines, observability systems, model retraining workflows, and deployment infrastructure.
Requirements
- At least two years of experience with cloud infrastructure and container orchestration.
- Strong experience with cloud infrastructure, preferably GCP or Azure, and Kubernetes.
- Understanding of distributed systems, networking, and infrastructure as code, such as Terraform.
- Experience or interest in performance, reliability, observability, production debugging, and infrastructure optimization.
- Curiosity about AI infrastructure, data pipelines, and large-scale retrieval systems.
- Ability to work in a fast-paced, high-ownership startup environment.
- Interest in Linkup’s mission to build search infrastructure for AI agents.
Benefits
- Flexible remote-work policy.
- Opportunity to work closely with the CTO, founders, and a small technical team.
- Central role in developing AI-powered search and agentic-web infrastructure.
Tech Stack
Categories
About Linkup
At Linkup, we get your AI off airplane mode and connect it to the internet with our state-of-the-art web search API.