25 ago
|
Arganteal
|
Nuevo León
25 ago
Arganteal
Nuevo León
* 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).
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📌 Senior Devops Engineer (Nuevo León)
🏢 Arganteal
📍 Nuevo León