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Senior Full-Stack / Founding Engineer – AI Security Platform

Senior Full-Stack / Founding Engineer – AI Security Platform

CloudMatossalem, tamil nadu, in
1 day ago
Job description

MUST TAKE THIS TEST TO BE COSNIDERED – TEST LINK

About the Role

We’re building Aegis Gateway — the policy & observability fabric for secure multi-agent AI systems. As enterprises rapidly adopt OpenAI AgentKit, Microsoft Agent Framework, and LangGraph to build agentic workflows, a critical gap is emerging : agent privilege enforcement and policy governance at runtime.

We’re looking for a senior engineer or founding technical partner who can own the entire platform — from backend gateway to lightweight UI, infra, and scalable cloud deployment — to bring this product to life as an enterprise-grade platform.

You’ll architect, build, and ship the first version of Aegis Gateway, laying the foundation for a category-defining product.

MUST TAKE THIS TEST TO BE COSNIDERED – TEST LINK

What You’ll Build

  • A reverse proxy / policy gateway enforcing least-privilege access between AI agents and external tools.
  • A policy engine (OPA / Rego or custom DSL) to evaluate per-agent tool permissions at runtime.
  • Telemetry & observability using OpenTelemetry, with integrations into SIEM / SOC pipelines.
  • A simple admin UI (React or similar) to view agent registry, policies, and telemetry dashboards.
  • Cloud infrastructure (GCP / AWS / Azure) for scalable, secure deployment.
  • Developer tooling : CLI, policy hot-reload, containerized dev environment, CI / CD pipeline.

Core Responsibilities

  • Architect and implement backend services in Go, Rust, or Python (FastAPI) for the gateway, policy engine, and telemetry.
  • Build a front-end console for agent & policy management (Next.js / React preferred).
  • Design secure, scalable infra (Kubernetes / serverless / managed cloud services).
  • Implement OpenTelemetry instrumentation, logs, and basic dashboards.
  • Set up end-to-end CI / CD pipelines (GitHub Actions / Cloud Build).
  • Deploy to cloud (GCP, AWS, or Azure) with production-ready configuration.
  • Own performance, security, and reliability from day one.
  • Collaborate directly with product leadership to evolve MVP into a pilot-ready platform.
  • Must-Have Skills

  • 5+ years experience building & deploying full-stack, cloud-native applications end-to-end.
  • Deep expertise in backend systems (Go / Python / Rust) and reverse proxy / gateway architecture.
  • Experience with policy engines (OPA / Rego) or custom rules engines.
  • Strong understanding of security, IAM, or zero-trust principles.
  • Production experience with OpenTelemetry, structured logging, and SIEM / SOC integration.
  • Solid front-end skills (React / Next.js / TypeScript) for building simple but clean admin UIs.
  • Cloud deployment (AWS, GCP, or Azure) — including containerization, infra-as-code, CI / CD.
  • Comfortable building enterprise-grade, scalable, and secure systems solo.
  • Nice-to-Have

  • Prior experience with agentic AI frameworks (OpenAI AgentKit, LangGraph, AutoGen, Semantic Kernel).
  • Knowledge of compliance frameworks (SOC2, FedRAMP, NIST AI RMF).
  • Experience with security product engineering (CNAPP, API gateways, IAM).
  • Familiarity with GraphQL and policy visualization tools.
  • Contributions to OSS in security, observability, or infra.
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    Senior Ai Engineer • salem, tamil nadu, in

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