We are building the control plane for AI agents in teams and companies.
As a Production Engineer, you will own the infrastructure, security, and compliance systems that allow our platform to ship fast and run reliably at scale. This is not a traditional ops role — you will write real code, contribute directly to the product, and own the full security and compliance surface of an early-stage company.
You'll work across Kubernetes infrastructure, cloud delivery, agent sandboxing, SOC2 compliance, IT systems, and production observability — and you'll contribute to the product itself, building security-sensitive features and auditing application code for vulnerabilities.
If you want to own the production backbone for the agent-native era — from a Terraform module to a pentest to an API key implementation — we want to talk.
Cloud & Kubernetes Infrastructure
Our Stack: Manage and evolve our production and staging infrastructure on GCP (GKE) using Terraform. Own DNS, networking, and environment configuration end-to-end.
Customer Environments: Deploy and operate within customer VPCs across AWS, Azure, and GCP — adapting to varied infrastructure constraints, security requirements, and enterprise networking configurations.
Agent Sandboxing: Build and maintain Kubernetes-based sandboxing for agent execution — ensuring agents operate within strict network boundaries and must route through our API gateway rather than having unfettered internet access.
Observability: Own our observability stack, including OpenTelemetry instrumentation and integrations with New Relic and Splunk, to give the team deep visibility into system performance and agent runtime behavior.
Security, Compliance & IT
SOC2 & Audits: Lead infrastructure and operational work to support SOC2 compliance, including audit preparation, evidence collection, and control implementation.
ExperienceOur StackCode over ClickSecurity DepthExposure to AI/ML infrastructureWhy This Role is UniqueBroad OwnershipAgent Infrastructure
Required
Experience: 5+ years in Production Engineering, Platform Engineering, or a security-focused infrastructure role, ideally at a fast-growing startup or SaaS company.
Our Stack: Strong hands-on experience with Kubernetes and GCP in production; comfortable with Terraform for managing real infrastructure.
Code over Click: Strong programming skills (Python, Go, TypeScript, etc.) with a passion for automating away toil.
Security Depth: Hands-on experience with compliance frameworks (SOC2), vulnerability management, and secure system design.
Preferred
Background with multi-tenant SaaS or enterprise security and procurement requirements.
Exposure to AI/ML infrastructure, particularly agent runtimes.
Experience building security-sensitive product features alongside infrastructure work.
Experience supporting pentests / bug bounties
Experience deploying and operating in customer VPCs or other external cloud environments across AWS, Azure, and/or GCP — navigating enterprise networking, security, and access constraints.
Why This Role is Unique
Broad Ownership: You'll own the full security and compliance surface of an early-stage company — from SOC2 to sandboxed agent execution to IT — while also contributing directly to the product.
Agent Infrastructure: You'll design infrastructure for autonomous AI agents, not just traditional web services — introducing unique sandboxing, observability, and security challenges.
