Cadre Inc
Founding Infrastructure Engineer (Onsite)
Cadre Inc, San Francisco, California, United States, 94199
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr