DevOps Engineer

About the role

ABOUT THE ROLE

Linkup is the web search engine built for AI. Our infrastructure crawls, indexes and serves the live web to AI agents, and it’s scaling fast.

We’re looking for a top‑tier DevOps Engineer to join Linkup and work hand‑in‑hand with our CTO, Denis Charrier https://www.linkedin.com/in/denis-charrier/, and the rest of the tech team.

Your core responsibilities will be to:

- 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 all environments

- Optimize performance, scalability, and resource usage across our stack

- Participate in architecture discussions and contribute to system design

- Collaborate with ML and backend teams to streamline CI/CD and model deployment workflows

- Write clean, maintainable infrastructure code and participate in reviews

REQUIREMENTS

You’re a great match if you:

- Are excited to help build Google for AI agents- and believe in Linkup’s mission https://www.notion.so/Join-Linkup-9a304f74df4544bf83d9b23c3b31b699?pvs=21

- Have strong experience with cloud infrastructure (preferably on GCP or Azure) and container orchestration (Kubernetes) (2y minimum)

- Understand distributed systems, networking, and infrastructure as code (e.g. Terraform)

- Care about performance, reliability, and system observability

- Enjoy debugging tough production issues and optimizing infrastructure bottlenecks

- Are curious about AI infrastructure, data pipelines, and large-scale retrieval systems

- Thrive in a fast-paced, high-ownership startup environment

EXAMPLE PROJECTS

- Deploy and scale clusters indexing hundreds of millions of pages daily with < 5 min freshness

- Set up auto-scaling pipelines to stream 1 B embeddings/day while minimizing compute costs

- Build robust observability and alerting systems for real-time search and ranking performance

- Automate retraining workflows for models running on GPU clusters

- Reduce deployment times and costs through improved CI/CD pipelines and caching layers

OUR STACK

- Kubernetes (GKE / AKS), Terraform, Helm, Argo CD, GCP, Apache Storm, vLLM, NATS, Redis, PostgreSQL, Datadog

DETAILS

The ideal candidate will play a central role in our engineering team, partnering closely with the founders to spearhead groundbreaking products. Your expertise will shape the future of AI‑powered applications and bring our vision to life.

We offer a flexible remote‑work policy- see the details here https://www.notion.so/Linkup-Remote-Work-Policy-d593322ac4c84988b1c7c327d6c4d39e?pvs=21.

Join us and leverage your expertise to push the boundaries of AI!