---
title: 'DevOps Engineer at Tavily'
canonical: 'https://feeny.ai/job/devops-engineer-tavily-new-york-241zkwwmhv91'
type: 'job'
last_seen: '2026-09-04'
---

# DevOps Engineer at Tavily

- **Company:** Tavily
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-26
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/tavily/6829aa3b-ffa2-4007-b057-2a22e3593cc6

## 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

## About Tavily

## Company Overview
- **One-liner**: Tavily provides a purpose-built search API that delivers real-time, structured web context for AI agents, enabling large language models to stay grounded and factual.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: AI infrastructure / Agentic web search
- **Target customers**: B2B – developers, AI startups, and enterprises building agentic applications (e.g., enterprise data analysis, AI assistant development, academic research)
- **Mission**: “To help AI agents navigate the web quickly and efficiently by shaping the context they see” [tavily.com](https://www.tavily.com/about)

## Products & Services
- **Tavily Search API**: A production-grade retrieval stack that takes a natural language query, searches the live web, extracts relevant content, and returns it structured and chunked for LLMs. Features real-time search, intelligent caching, and indexing. Supports drop-in integration with OpenAI, Anthropic, Groq, and other LLM providers. [tavily.com](https://tavily.com/)
- **/research endpoint**: A state-of-the-art research endpoint that achieves high accuracy on factual benchmarks like SimpleQA, designed for deep, multi-document synthesis. [tavily.com](https://tavily.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding raised – **$25M** (latest round: $20M Series A, raised ~1 year ago) [cbinsights.com](https://www.cbinsights.com/company/tavily)
- **Notable Investors/Partners**:
  - Investors: Nebius Group, Insight Partners, Alpha Wave Global, N-Up Program, a16z Bio Health, and others [cbinsights.com](https://www.cbinsights.com/company/tavily)
  - Partners: JetBrains, Databricks (MCP Marketplace), IBM (WatsonX platform) [tavily.com](https://tavily.com/)
- **Growth Signals**:
  - **2M+ developers** using Tavily
  - **300M+ monthly requests** handled
  - **99.99% uptime** SLA
  - **180 ms p50 latency** on /search – fastest on the market
  - Billions of pages crawled and extracted without downtime
  - Press mentions: “Tavily is Joining Nebius” (partnership/acquisition signal) [tavily.com](https://tavily.com/)

## Competitive Advantages
- **Real-time performance**: Sub-200ms p50 latency for search queries, with intelligent caching and indexing to keep latency predictable as traffic scales.
- **Built-in safety**: Security, privacy, and content validation layers that block PII leakage, prompt injection, and malicious sources.
- **Enterprise-grade reliability**: 99.99% uptime SLA and proven at scale (300M+ monthly requests).
- **Developer experience**: Drop-in integration with all major LLM providers; a single API for real-time web access.
- **Freshness & relevance**: Prioritizes recent, high-quality web context to reduce hallucination in agentic workflows.

## Strategic Focus
- Scale the agentic web infrastructure to onboard “the next billion AI agents” [tavily.com](https://www.tavily.com/about)
- Deepen enterprise partnerships (Databricks, IBM, JetBrains) and expand into new verticals
- Continue improving retrieval accuracy and efficiency (e.g., the /research endpoint achieving state-of-the-art on SimpleQA)
- Grow the in-person engineering team across offices in New York, Tel Aviv, and Abu Dhabi

## Why Work Here
- **Culture**: In-office collaboration is core – teams work together in New York City, Tel Aviv, or Abu Dhabi. The company believes spontaneous problem-solving and strong relationships happen best in person. [tavily.com/careers](https://www.tavily.com/careers)
- **Benefits**: Comprehensive medical, dental, and vision coverage; monthly meal allowance; competitive salary and meaningful equity; annual learning budget for conferences and workshops.
- **Work environment**: Daily team lunches and regular dinners; a focus on curiosity, collaboration, and solving hard problems. The interview process is transparent and typically takes 2–4 weeks.
- **Engineering culture**: Emphasis on shipping quickly while building for the long arc (“play the long game”, “stay a student”). The team values technical excellence and clear communication.
- **Growth opportunities**: Internships offered; roles span engineering, product, sales, marketing, and customer experience. Current open positions include Forward Deployed Engineering Team Lead, Senior Site Reliability Engineer, Technical Support Engineer, and Product Marketing Manager. [tavily.com/careers/jobs](https://www.tavily.com/careers/jobs)

## Sources
1. [tavily.com – Company overview and product](https://tavily.com/)
2. [tavily.com/about – Mission and team](https://www.tavily.com/about)
3. [tavily.com/careers – Culture and benefits](https://www.tavily.com/careers)
4. [tavily.com/careers/jobs – Open positions](https://www.tavily.com/careers/jobs)
5. [cbinsights.com – Funding, investors, competitors](https://www.cbinsights.com/company/tavily)

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