Senior Developer

Empresa : Arganteal

Tipo de Emprego : Periodo Integral

Rio De Janeiro, State Of Rio De Janeiro

Número de Aplicantes

000+

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Descrição do Emprego - 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, 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 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.

Original job Senior Developer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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Arganteal

Arganteal offers IT automation and orchestration solutions, transforming enterprise operations with unparalleled efficiency and simplicity.

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