Job Description

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.



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