Senior Developer

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, Colombia, South Africa, Mexico, or Panama.

This is a full-time role at 40 hours per week.

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 .

• 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 Node.js 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.