DevOps Engineer (Agentic Search)

We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

The Role: DevOps Engineer
Managing Kubernetes clusters across multiple environments and regions

Owning infrastructure as code for all resources

Maintaining and improving CI/CD pipelines and GitOps-based deployments

Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

Building out monitoring, alerting, and observability

Debugging production issues across services

Managing cloud costs and capacity planning

Working closely with a small engineering team - you'd own infra, not a slice of it