Founding Infrastructure Engineer

1 day ago

San Francisco, CA, United States Cadre Full time
Founding Infrastructure Engineer

Judgment Labs
San Francisco, CA (Onsite)
Company Overview

Judgment Labs is building Agent Behavior Monitoring (ABM) infrastructure - a critical reliability layer for AI agents in production. Our platform helps companies detect poor agent behavior, prevent failures before they reach customers, and continuously improve agent performance based on real-world interactions.

As AI agents move into mission-critical workflows, Judgment Labs is becoming the system of record for how agents actually behave in the wild. We are tackling one of the hardest problems in AI today: correctness, reliability, and learning at scale.
  • Funding: $30M+ raised
  • Backers: Lightspeed and other top-tier investors
  • Stage: Early-stage, high-growth (founded 2025)
Role Overview

We are hiring a Founding Infrastructure Engineer to own the cloud and infrastructure roadmap end-to-end. This is a foundational, hands-on role responsible for building and scaling the systems that power Judgment Labs' core product across cloud, enterprise, and self-hosted environments.

You will design and operate high-throughput, low-latency infrastructure that supports large-scale data ingestion, querying, and secure deployments across multi-cloud and BYOC environments.

This role is onsite in San Francisco and is ideal for senior engineers who want deep ownership, technical autonomy, and direct impact at an early-stage company.
Responsibilities
  • Own and build Judgment Labs' cloud and infrastructure stack end-to-end
  • Design and scale high-throughput data ingestion and query systems
  • Operate and optimize distributed databases and streaming pipelines in production
  • Lead infrastructure for self-hosted and BYOC deployments (VPC, on-prem, enterprise security)
  • Build multi-cloud, multi-region infrastructure with strong reliability and security guarantees
  • Implement and manage Kubernetes-based deployments
  • Define and maintain infrastructure-as-code using Terraform
  • Partner closely with product, AI, and backend engineers to support rapid iteration
  • Establish best practices for observability, performance, and operational excellence
Requirements
Experience
  • 4+ years of experience as a backend, cloud, or infrastructure engineer
  • Background at top-tier technology companies or high-performing startups
  • Proven experience scaling high-throughput data systems (ingestion and query performance)
  • Experience with self-hosted or BYOC deployments, including enterprise security considerations
Technical Skills
  • Strong proficiency with at least one major cloud provider (AWS, GCP, or Azure)
  • Hands-on experience with:
    • ClickHouse or similar analytical databases
    • Kafka, RabbitMQ, or other distributed messaging systems
    • Kubernetes in production environments
    • Terraform or equivalent infrastructure-as-code tooling
Education
  • Technical undergraduate degree (Computer Science, Engineering, or related field)
What We're Looking For
  • Deeply hands-on individual contributors who enjoy building and operating systems
  • Engineers who thrive in fast-moving, ambiguous environments
  • Strong systems thinkers with a bias toward ownership and execution
Not a Fit If
  • Your experience is primarily management-focused with limited recent hands-on work
  • You have only worked in slow-moving, large enterprise environments without startup exposure
Team & Culture
  • Tight-knit, senior, highly technical team based in San Francisco
  • Extremely high talent density across AI, systems, and infrastructure
  • Direct collaboration with founders and early engineers
  • Fast-moving, low-bureaucracy environment with real ownership
Why Join Now
  • Early-stage but well-capitalized with strong investor backing
  • Massive market tailwinds as AI agents become core to enterprise workflows
  • Opportunity to define foundational infrastructure that every serious AI company will eventually need
  • Meaningful ownership and impact at the ground floor of a category-defining company

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