Senior Developer

**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)**.**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.0QevkFAJfX