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 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.
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📌 Senior Developer
🏢 Arganteal
📍 Monterrey