As a Founding Infrastructure Engineer, you will build the high-performance runtime systems that authorize every action AI agents take. You’ll design sub-millisecond latency distributed systems on GCP and Kubernetes, ensuring that autonomous tools operating in production remain secure, compliant, and deterministic. This is a foundational role shaping the core infrastructure of the AI economy.
Founding Infrastructure Engineer at Kastra Labs Inc
AI agents are becoming capable of writing code and managing businesses, but they lack a crucial component: authorization. Kastra Labs Inc is building the runtime infrastructure that determines what AI can do before it acts. Join as a Founding Infrastructure Engineer to build high-performance, sub-millisecond authorization systems that sit in the critical path of autonomous AI. You'll own core infrastructure on GCP and Kubernetes while working directly with the founders to scale a platform designed for the world's most regulated enterprises. If you obsess over latency and want to build the foundational infrastructure of the next generation of software, this is your role.
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Location
Remote
Compensation
Not Disclosed + Equity
Company
Kastra Labs Inc
Role overview
Kastra is the authorization layer for AI agents. As AI systems gain the ability to write code, access production infrastructure, call APIs, and make autonomous decisions, organizations need a deterministic way to control what those systems are allowed to do. Kastra sits between AI agents and the systems they interact with, evaluating every action against your policies before it executes. Instead of relying on another AI to monitor behavior after the fact, Kastra makes explicit authorization decisions in real time with sub-1 ms latency.
Developers and enterprises use Kastra to safely delegate more work to AI while preventing destructive actions, unauthorized access, secrets leakage, data exfiltration, and compliance violations. We integrate with Claude Code, Codex, Cursor, OpenClaw, and other AI agent frameworks, providing centralized runtime authorization, policy management, and audit-grade decision logs across every AI workload.
What you will do
- Design and own production Kubernetes environments using GKE, Terraform, and GitOps to support global, high-availability deployments.
- Build distributed policy evaluation services capable of serving millions of decisions per day with sub-millisecond latency.
- Develop AI runtime integrations for platforms like Claude Code, Cursor, and Anthropic, ensuring secure tool execution and API invocation.
Who this is a fit for
- Demonstrates deep expertise in Go or Rust backend systems and has extensive experience operating Kubernetes in production environments.
- Possesses a strong background in distributed systems, networking fundamentals, and Infrastructure as Code using Terraform or similar tools.
- Exhibits a builder mindset with experience in security infrastructure, API gateways, or low-latency systems like Envoy or OPA.
Why this role is remarkable
- Join as one of the first engineers to build the “Stripe of AI authorization,” sitting in the critical path of every autonomous agent action.
- Solve complex distributed systems challenges involving sub-millisecond policy evaluation, global scalability, and multi-region Kubernetes infrastructure on GCP.
- Work directly with founders Carlos Jimenez and Fernando Vintacourt to establish the technical architecture for highly regulated enterprise customers.
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