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Senior Cloud Infrastructure Engineer at Judgment Labs | San Francisco

Judgment LabsSan Francisco
On-site Full-time

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Experience Level

Senior

Qualifications

We are seeking a talented Senior Cloud Infrastructure Engineer responsible for architecting and scaling our deployment infrastructure that supports agent behavior monitoring at an enterprise level. This pivotal role will enable our enterprise customers to deploy Judgment Labs solutions in diverse environments, including multi-region cloud setups, self-hosted solutions, or Bring Your Own Cloud (BYOC) deployments, all while ensuring adherence to security, compliance, and reliability standards. The ideal candidate will have substantial experience in building distributed systems capable of managing real production traffic and will take ownership of the infrastructure from architecture to operations.

About the job

At Judgment Labs, we are pioneering the way that Agent Behavior Monitoring (ABM) is approached. Unlike conventional observability methods that primarily focus on logging exceptions and latency, our innovative ABM technology identifies behavioral anomalies such as instruction drifts and context retrieval losses in large-scale production environments.

Our platform is trusted by numerous teams developing autonomous agents, enabling them to gain insights into system behavior post-deployment. By moving beyond reactive incident management, our users can analyze patterns across conversations and workflows, correlate regressions to specific interaction types, and accurately identify where reliability issues arise within their operational context.

Recent funding success: We have successfully raised over $30M across two funding rounds within the last five months, attracting notable investors such as Lightspeed, SV Angel, Valor Equity Partners, and more.

About Judgment Labs

Judgment Labs is at the forefront of developing innovative infrastructure solutions for Agent Behavior Monitoring. Our unique approach empowers teams to proactively understand and enhance the performance of autonomous agents, driving reliability and efficiency in production environments.

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