DevOps Engineer
Role Overview
This is a senior-level DevOps Engineer role at Tavily, where you will manage Kubernetes clusters, infrastructure as code, and CI/CD pipelines across multiple environments and regions. You'll work closely with a small engineering team to own the entire infrastructure, handling real-time data pipelines, monitoring, and production debugging to support AI agents processing billions of events daily.
Perks & Benefits
The role is fully remote, likely with flexible hours, and offers full ownership of infrastructure in a small team, providing direct impact on AI-native scaling challenges. It includes opportunities for career growth through real-world challenges like multi-region deployments and working with leading AI companies, with a culture emphasizing short feedback loops and close collaboration with NYC-based engineering.
Full Job Description
About Tavily
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
What we're looking for
~3+ years in a DevOps or platform engineering role, working in production environments
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Strong Kubernetes experience in a managed cloud environment
Proficiency with infrastructure as code (Terraform or similar)
Experience with GitOps-based deployment workflows
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Nice to have:
Multi-region deployments
Search infrastructure
Data pipeline experience (streaming, warehousing)
Proxy/networking infrastructure at scale
Why Tavily?
Full ownership — small team, you own the entire infrastructure, not a slice of it
Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company — your infra directly powers AI agents used by leading companies in the space
NYC-based — working closely with engineering, short feedback loops
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