- Location
- New York or San Francisco
- Type
- Full-time
- Department
- IT
- Seniority
- Senior
Description
About HoneyHive
At HoneyHive, we are building the new observability stack for AI agents. Our platform is used by Fortune 500 enterprises to observe, evaluate, and optimize AI agents in production. Developers use our platform debug complex agents, evaluate output quality, monitor agent failures in production, and a whole lot more.
We’ve raised $7.4M Seed from Insight Partners and are on track to scale further. Our founding team includes AI, infra, and product experts who’ve shipped large-scale systems at Microsoft AI, Amazon, Amplitude, Plaid, and more.
About the role
As a Platform Engineer at HoneyHive, you'll shape how companies build, deploy, and scale AI agents. Our end-users are sophisticated AI engineers at high-growth companies – and you'll be building the infrastructure they rely on daily.
We’re a small team, which means you'll have tremendous impact and ownership. You'll work directly with our founders and have the freedom to explore your own ideas.
In this role, you will
Own the development and optimization of our core microservices architecture running on Kubernetes
Build scalable data processing pipelines that handle large volumes of AI interaction data
Scale distributed databases like ClickHouse to enable powerful analytics capabilities
Build and automate secure customer‑VPC deployments across AWS, Azure, and GCP
Shape our core platform architecture and product roadmap
Our stack
We use React, Express, and Next.js for web development, AWS for all our cloud needs, Clickhouse for data storage, NATS for queuing, and deploy our services to Kubernetes. Learn more here.
About you
We think you'd be a great fit if you have:
5+ years of full-time experience in infrastructure / platform engineering roles
Deep expertise in Kubernetes and experience managing deployments in production environments
Familiarity with event-driven architectures and message queuing systems (NATS, Kafka, etc.)
Experience with high-throughput data systems and OLAP databases like ClickHouse
Experience operating production systems in multiple cloud environments (AWS/GCP/Azure)
Strong expertise in TypeScript and Go
Natural curiosity and bias for action. You enjoy diving into complex problems and aren't afraid to explore new approaches
What sets great candidates apart:
Previous experience at early-stage startups, particularly in data, analytics, or observability domains
Familiarity with core AI engineering concepts like prompt engineering, RAG, evals, etc.
Why join
We have product market fit and are scaling fast.
You'll build critical infrastructure that engineers at cutting-edge companies rely on daily.
You'll learn the ins and outs of startup building – perfect if you want to build your own company someday.
We have a flat org structure. Everyone on the team ships.
Benefits
Competitive salary + meaningful equity
Health, vision, and dental benefits
Unlimited PTO
Assistance in relocating to NYC or SF
MacBook Pro + peripherals
Annual AI Stipend