Backend Engineer

MetAntz; San Jose (CA); Hybrid; USD 170,000 - 200,000; Full time

Benefits offered by this job

Hybrid work model

Founding-team equity

Job summary

MetAntz is seed-stage and building a runtime between AI agents and the systems they touch. You will own a major surface area from day one, including the real-time entity graph, the integrations layer with Okta and AWS, and the policy/audit APIs that decide and justify agent calls.

Join a small, customer-focused team led by repeat founders; the role offers meaningful founding-team equity and a base salary in the $170k–$200k range, with a hybrid work model in San Jose.

Qualifications

• Built and operated backend systems that real customers depended on.
• Comfortable designing data models under ambiguity — graph experience is a plus.
• Turn vague problems into simple, reliable systems.

Responsibilities

• Own a major surface area from day one.
• Develop the entity graph for real-time modeling of users, agents, resources, and actions.
• Build the integrations layer to sync with Okta, AWS, and other identity/cloud stacks.
• Create policy and audit APIs that decide if an agent can make a call and prove it later.

Skills

Go

Python

Java

Backend systems

Graph experience

Job description

Seed-stage

• Enterprise Security
• AI Agents

AI agents are starting to take real actions inside companies — calling APIs, touching production data, executing workflows. Security teams have no way to see what they`re doing, let alone control it. We`re building the runtime that sits between agents and the systems they touch — and helping define a new category in the process.

What you`ll build

You`ll own a major surface area from day one

• The entity graph — a real-time model of every user, agent, resource, and action across a customer`s environment
• The integrations layer that keeps it in sync with Okta, AWS, and the rest of the identity and cloud stack
• The policy and audit APIs that decide, in milliseconds, whether an agent gets to make a call — and prove it later

A policy engine is only as good as the world model it reasons over, so we`re building both. Your code ships to paying customers, not a demo.

You

• Have built and operated backend systems that real customers depended on
• Strong in Go or Python or Java
• Comfortable designing data models under ambiguity — graph experience is a plus
• Turn vague problems into simple, reliable systems

Bonus

background in security, identity, or infrastructure; experience with agents or tool-calling systems.

Us

Repeat founders, previously in leadership at Lacework and ShiftRight. Backed by tier-1 investors. Small team shipping the first version now.

Comp & logistics

$170–200K base

• meaningful founding-team equity

San Jose

• Hybrid