Responsibilities
- As part of the engineering team, you’ll work alongside industry-leading cryptographers, AI/ML innovators, cloud infrastructure experts, and security engineers who are defining the future of secure digital interactions.
- Architect and build the Identity Foundation: Design and own a cryptographically secure identity system that serves as the "source of truth" for all AI workloads, ensuring every agent has a verifiable and tamper-proof digital passport.
- Build Runtime Enforcement: Develop high-performance systems to control agentic interactions in real-time. You will ensure that agents operate strictly within their authorized boundaries without introducing latency.
- Define Governance Logic: Create the engines that translate complex human policies into machine-executable rules, controlling how agents access tools, databases, and LLMs.
- Design for Resilience and Scale: Build "secure-by-default" infrastructure that can handle thousands of concurrent autonomous agents across multi-cloud environments, ensuring the system remains tamper-proof.
- Shape the Technical Culture: You will select our core stack, define our engineering standards, and help build the team.
Requirements
- Systems Mastery: Deep experience building mission-critical distributed systems. You are a master of systems-level languages (like Go or Rust) and you have built distributed high performance systems from ground up.
- Identity & Security Infrastructure: Hands-on experience with SPIFFE/SPIRE, PKI, and mTLS. You understand certificate lifecycle management, OIDC, and OAuth2 at a protocol level.
- Cloud-Native Networking: Expert-level knowledge of Kubernetes (K8s) You have worked extensively with Envoy Proxy, Service Meshes (Istio/Linkerd), and Open Policy Agent (OPA).
- Cloud & DevOps: Experience deploying and securing production workloads on AWS, GCP, or Azure. You are comfortable with Infrastructure as Code (Terraform)
- You have a "bias for shipping" and are comfortable building CI/CD pipelines and observability stacks (Prometheus/Grafana) from scratch.
Nice to Have
- AI Experience (Desirable): Prior experience or a strong interest in working with AI Agents (LangGraph, CrewAI, AutoGen), LLM APIs (OpenAI, Anthropic), and the Model Context Protocol (MCP).
Benefits
- Generous time off policies
- Top shelf benefits
- Education, wellness and lifestyle support
