*
Arganteal accepts applications from direct candidates only. We do not work with third-party recruiters or staffing agencies. *
Required Country Location:
Costa Rica, Peru, Argentina, Brazil, Columbia, South Africa, Mexico, or Panama. * This is full time work at 40 hours per week Overview: Our client seeks a motivated
Senior DevOps Engineer, Data & AI
to join their team in building a groundbreaking, modular platform from the ground up. This platform digitizes and contextualizes multi-modal sensor data from both digital and physical environments into specialized time-series, graph, and vector databases—powering real-time analytics, compliance, and AI-driven context mapping. This role is adecuado for a DevOps leader with strong expertise in data engineering, distributed systems, and applied AI, who thrives on automation, scalability, and production-grade deployments across hybrid and cloud environments.
Key Responsibilities: Platform Automation & Infrastructure
Architect, automate, and manage infrastructure for
data ingestion, contextualization, and visualization modules
(Data, Access,



& Agents). Build CI/CD pipelines for sensor collection agents across heterogeneous systems (Windows, Linux, macOS, mobile, IoT). Implement and automate
real-time ingestion pipelines
using
Apache Kafka, Apache NiFi, Redis Streams, or AWS Kinesis . Database & Data Layer Engineering
Deploy, scale, and optimize multi-modal databases:
Time-series:
MongoDB, InfluxDB, TimescaleDB, or AWS Timestream Graph:
Neo4j (Cypher, APOC, graph schema design) Vector:
Qdrant, FAISS, Pinecone, or Weaviate
Automate deployment and monitoring of a
Database Access Layer (DBAL)
to unify queries across multiple database engines. Experiment with or extend
Model Context Protocol (MCP)
or similar standards for cross-database and multi-agent interoperability. Data Streaming & Integration
Engineer
low-latency pipelines
for event streams (syslog, telemetry, keystrokes, IoT feeds, cloud service logs). Collaborate with fron

📌 Senior Devops Engineer (Monterrey)
🏢 Arganteal
📍 Monterrey