**\*\*\* 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 ideal 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 frontend engineers to integrate **visual mapping UIs** with scalable back\-end pipelines. **Optimization, Reliability \& Scalability*** Optimize system and database performance using **down\-sampling, partitioning, and caching techniques**. * Design solutions for **horizontal scaling and containerized deployment** (Docker, Kubernetes, OpenShift). * Apply infrastructure\-as\-code practices to achieve resilience, reproducibility, and rapid iteration under real\-world constraints. **Collaboration \& Leadership*** Partner with compliance, security, and business stakeholders to ensure systems meet regulatory and operational requirements. * Conduct architecture reviews, lead DevOps best practices, and mentor junior engineers on automation, scalability, and observability. **Required Skills \& Experience:*** **Programming:** Strong proficiency in Python and Node.js (C\+\+ a plus). * **Streaming:** Proven hands\-on experience with **Kafka, NiFi, Redis Streams, or AWS Kinesis**. * **Databases:** + Time\-series: MongoDB, InfluxDB, TimescaleDB, or AWS Timestream + Graph: Neo4j (Cypher, APOC) + Vector: Qdrant, FAISS, Pinecone, or Weaviate * **AI \& Agents:** Experience with—or strong interest in—**Agentic AI frameworks, multi\-agent orchestration, and context\-aware data processing**. * **Data Interchange:** Familiarity with **MCP\-like protocols** or standardized APIs for multi\-database access. * **Cloud \& Infrastructure:** Hands\-on with **AWS, Azure, or GCP**, plus containerization and orchestration (**Docker, Kubernetes, OpenShift**). * **DevOps Expertise:** Deep understanding of **CI/CD pipelines, IaC (Terraform/Ansible), monitoring/observability, distributed systems, and microservices security**. * **Problem Solving:** Strong debugging skills, automation mindset, and ability to balance speed, scalability, and compliance in production systems. **Preferred Skills:*** Machine Learning/NLP integration into multi\-modal pipelines. * CI/CD automation and DevOps practices. * Knowledge of **enterprise integration patterns, event\-driven systems, and zero\-trust security models**. * Experience with compliance frameworks (NERC CIP, FedRAMP, GDPR, SOX). **Qualifications:*** Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent hands\-on experience). * **5\+ years professional software development** with data\-intensive or AI\-driven systems. * Proven experience **designing, deploying, and scaling modular platforms** in production. **\*\*\* Arganteal accepts applications from direct candidates only. We do not work with third\-party recruiters or staffing agencies.** EA95Bu2j4k