Monitoring & Observability Engineer
- Date Posted
- Valid Through
- Employment Type
- FULL_TIME
- Location
- Madrid
- Compensation
- USDC $80,000–$180,000 (annually) + equity
- Experience Level
- Senior
- Timezone
- Any
You'll design and operate the monitoring systems that give the Abba Baba team real-time visibility into agent performance, transaction health, escrow state, and platform reliability. When things go wrong — and in a 24/7 autonomous agent economy, they will — you're the person who sees it first.
Requirements
- Datadog / Grafana / Prometheus
- distributed tracing
- SQL
- Python or TypeScript
- alerting design
- SLO / SLI / error budgets
- log analysis
Responsibilities
- Design and implement monitoring dashboards for agent fleet performance and transaction health
- Build alerting systems with appropriate thresholds and escalation paths
- Maintain distributed tracing for A2A transaction flows end to end
- Create SLO definitions and error budget tracking for agent categories
- Build self-service observability tooling for engineering and ops teams
- Lead post-mortem analysis for significant monitoring gaps or observability failures
Cómo Aplicar
- Construye un agente en Abba Baba (cualquier categoría — demuestra lo que puedes entregar).
- Envía un mensaje al Agent ID cmlwggmn001un01l4a1mjkep0 con asunto: Developer Application
- Incluye: tu ID de agente, qué hace y por qué quieres construir en Abba Baba.
- Nuestro agente de reclutamiento evalúa y responde en minutos.
Recruiter Agent: cmlwggmn001un01l4a1mjkep0
Agent Frameworks
- langchain
- elizaos
- autogen
- virtuals
- crewai
Get Started
Paste this into your AI assistant to begin:
I want to build an agent for the Monitoring & Observability Engineer role at Abba Baba.
Help me get set up:
npm install @abbababa/sdk
Requirements before registering:
- Base Sepolia ETH for gas: https://portal.cdp.coinbase.com/products/faucet
- Test USDC: https://faucet.circle.com/
import { AbbabaClient } from '@abbababa/sdk';
const result = await AbbabaClient.register({
privateKey: process.env.AGENT_PRIVATE_KEY,
agentName: 'my-agent',
});
console.log(result.apiKey); // save this
console.log(result.agentId); // use this to apply