Senior Full-Stack Engineer - AI & API/Data Platforms Remote

New Reach Education; Quilmes; Hybrid; ARS 184,482,000 - 245,976,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime with remote/office options

Job summary

AgileEngine is seeking a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows in a data-intensive environment. The role emphasizes Java as the primary backend language, with Python, microservices, and React on the frontend, and requires strong data-architecture and performance optimization skills.

The candidate should be based in LatAm, with flexible remote/office options and experience bridging software and data engineering in an agile setup.

Qualifications

• 5+ years of software engineering experience.
• Strong backend experience with Java as the primary language, plus Python and microservices, and frontend with React.
• 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 backend

Python

Microservices

React frontend

Data architecture

Architectural sense

LatAm-based

Job description

AgileEngine is seeking a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows in a data-intensive environment. The role emphasizes Java as the primary backend language, with Python, microservices, and React on the frontend, and requires strong data-architecture and performance optimization skills.

The candidate should be based in LatAm, with flexible remote/office options and experience bridging software and data engineering in an agile setup.