Senior Full-Stack Engineer - Data-Driven Impact (Remote/Flex)

AgileEngine, LLC.; Medellín; Hybrid; COP 284,765,000 - 474,608,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. in Medellín seeks a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows in a data-intensive environment. You will work across layers, using Java as the primary backend language with Python and microservices, and React on the frontend.

This role bridges software and data engineering within an agile team, supported by JIRA. Remote and office options and a focus on scalable data architecture and performance.

Qualifications

• 5+ years of software engineering experience.
• Strong backend with Java as the primary language, plus Python and microservices.
• Frontend experience with React.
• Strong understanding of scalable data architecture and performance optimization.
• Based in LatAm.

Responsibilities

• Build and maintain frontend and backend services and automation workflows, with Java as the primary backend language alongside Python and microservices, plus React on the frontend.
• Bridge software engineering and data engineering responsibilities.
• Work within an agile sprint process backed by a JIRA backlog.
• Deliver with a strong execution focus in evolving, data-intensive environments.
• Collaborate effectively across the engineering team.

Skills

5+ years experience

Java backend

Python

React frontend

Microservices

Data architecture

LatAm based

Tools

Kafka

Airflow

AWS

Job description

AgileEngine, LLC. in Medellín seeks a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows in a data-intensive environment. You will work across layers, using Java as the primary backend language with Python and microservices, and React on the frontend.

This role bridges software and data engineering within an agile team, supported by JIRA. Remote and office options and a focus on scalable data architecture and performance.