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  • Senior Developer - Córdoba - Arganteal, Corp.

    Arganteal, Corp.
    Arganteal, Corp. Córdoba

    hace 2 meses

    $900.000 - $1.200.000 (ARS) al año *
    Descripción
    *** 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 Developer, Data & AI to join their team in developing a groundbreaking, modular platform built from the ground up. Our client 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 creative problem-solver who thrives at the intersection of data engineering, distributed systems, and applied AI.



    Key Responsibilities
    Platform Design & Development
    • Architect, develop, and deploy core modules (Data, Access, & Agent's) for end-to-end data ingestion, contextualization, and visualization.
    • Design and code sensor collection agents across heterogeneous systems (Windows, Linux, macOS, mobile, IoT).
    • Implement real-time ingestion pipelines using technologies like Apache Kafka, Apache NiFi, Redis Streams, or AWS Kinesis.
    • Persist and query multi-modal data across time-series (MongoDB, InfluxDB, TimescaleDB), graph (Neo4j), and vector databases (Qdrant, FAISS, Pinecone, or Weaviate).
    API & Data Access Layer
    • Build secure, scalable RESTful and GraphQL APIs for exposing platform data models, sensor configuration, and reporting.
    • Implement a unified Database Access Layer (DBAL) to abstract query logic across multiple databases.
    • Experiment with or extend Model Context Protocol (MCP) or a similar standardized data interchange for multi-DB, multi-agent interoperability.
    System Integration & Data Streaming
    • Develop low-latency data pipelines for transporting and transforming event streams (syslog, telemetry, keystrokes, IoT feeds, cloud service logs).
    • Collaborate with frontend engineers to connect Access (visual mapping UI) with back-end pipelines.
    Optimization & Scalability
    • Optimize database query performance using down-sampling, partitioning, and caching techniques.
    • Design solutions for horizontal scaling and containerized deployment (Docker, Kubernetes, OpenShift).
    • Apply a "MacGyver-mindset" for rapid prototyping and iterative refinement under real-world constraints.
    Collaboration & Mentoring
    • Work directly with compliance officers, security analysts, and business process owners to refine data models for regulatory and operational needs.
    • Conduct code reviews, mentor junior developers, and promote best practices across the team.


    Required Skills & Experience
    • Programming: Strong proficiency in and Python (C a plus).
    • Streaming: Hands-on experience with Kafka, NiFi, Redis Streams, or AWS Kinesis.
    • Databases:
      • Time-series: MongoDB, InfluxDB, TimescaleDB, or AWS Timestream
      • Graph: Neo4j (Cypher, APOC, graph schema design)
      • 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 interest in defining standardized APIs for cross-database access.
    • Cloud/Infra: AWS, Azure, or GCP with containerization (Docker, Kubernetes).
    • Software Engineering: Strong grasp of algorithms, distributed systems, microservice design, and API security.
    • Problem Solving: Strong debugging skills, creative mindset, and ability to balance speed with scalability.


    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.
    * Este rango salarial es una estimación realizada por beBee
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