Senior Full-Stack Engineer - Java/Python, React | Remote

AgileEngine, LLC.; Rosario; Hybrid; ARS 138,564,000 - 200,148,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC is seeking a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows in a data-intensive environment.

You will work with Java, Python, microservices, and React, bridging software and data engineering, in an agile workflow backed by JIRA. Remote-friendly with flex-time across LatAm, and office options.

Applicants based in LatAm with a strong background in scalable architecture and performance optimization will thrive in this role.

Qualifications

• 5+ years of software engineering experience.
• Strong backend experience with Java as the primary language, along with Python and microservices, plus frontend (React, UI/UX) development.
• Strong understanding of scalable data architecture and performance optimization.
• Practical architectural sense.
• Being 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

Java

Python

React

Data architecture

System architecture

Tools

Kafka

Airflow

AWS

Job description

AgileEngine, LLC is seeking a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows in a data-intensive environment.

You will work with Java, Python, microservices, and React, bridging software and data engineering, in an agile workflow backed by JIRA. Remote-friendly with flex-time across LatAm, and office options.

Applicants based in LatAm with a strong background in scalable architecture and performance optimization will thrive in this role.