HoneyHive
Member of Technical Staff, Platform
New York or San Francisco, US · Staff · Full-time · Posted Oct 30, 2026
- Experience
- 5+ years of full-time experience in infrastructure / platform engineering roles.
About the job
Build and scale the infrastructure and platform that enterprises use to observe, evaluate, and optimize AI agents in production.
What you'll do
- Develop and optimize core microservices running on Kubernetes and build scalable data-processing pipelines for AI interaction data.
- Scale distributed databases to support analytics and automate secure customer-VPC deployments across cloud providers.
- Shape the platform architecture and product roadmap.
What they ask for
- Deep expertise in Kubernetes and experience managing production deployments.
- Familiarity with event-driven architectures and message queuing systems.
- Experience with high-throughput data systems and OLAP databases.
- Strong expertise in TypeScript and Go; experience operating production systems across multiple cloud environments (AWS/GCP/Azure).
Nice to have
- Experience at early-stage startups, particularly in data, analytics, or observability.
- Familiarity with AI engineering concepts such as prompt engineering, RAG, and evals.
Tools
Kubernetes, ClickHouse, AWS, Azure, GCP, NATS, Kafka, TypeScript
AI focus
Build and scale infrastructure for AI agents, including processing interaction data and supporting production observability, evaluation, and optimization.
Model-written summary · the original posting is authoritative