About HoneyHive

At HoneyHive, we are building the new DevOps stack for AI agents. Our product is used by leading AI startups and Fortune 100 enterprises to build, test, optimize, and ship reliable AI products with integrated observability, testing, and experimentation tools. AI engineers use our platform debug AI agents, evaluate quality, troubleshoot LLM failures in production, and a whole lot more.

We’ve raised $7.4M Seed from Insight Partners, Zero Prime Ventures, AIX Ventures, and leading founders/CEOs. Our founding team includes AI, data, and systems experts who’ve shipped petabyte-scale systems at Microsoft, Amazon, JP Morgan, and more.

About the role

As a Software Engineer at HoneyHive, you'll be at the forefront of shaping how companies build and deploy Generative AI applications. 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

• Collaborate with the founding team to shape our technical architecture and product roadmap

• Represent HoneyHive at various industry events and hackathons

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 EKS, AKS, GKE, RKE, and OpenShift.

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 (e.g., NATS, Kafka)

• Experience with high-throughput data systems and databases like ClickHouse

• Experience operating production systems in multiple cloud environments (AWS/GCP/Azure)

• Strong expertise in TypeScript, Express,js, and Go

• Track record of building developer-facing products with intuitive APIs

• 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

• You'll be an early employee at a well-funded startup in one of tech's hottest spaces.

• You'll build critical infrastructure that engineers at cutting-edge AI companies will rely on daily.

• You'll learn the ins and outs of startup building – perfect if you want to build your own company someday.

• You'll have direct access to founders and the freedom to explore your own ideas.

Benefits

• Competitive salary + meaningful equity

• Health, vision, and dental benefits

• Unlimited PTO

• Assistance in relocating to NYC or SF

• MacBook Pro + peripherals