Senior Full Stack Engineer - Data-Driven, Remote & Flexible

AgileEngine, LLC.

Metropolitana

Hybrid

COP 284,765,000 - 411,327,000

Full time

3 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine, a fast-growing software company serving Fortune 500 brands, seeks a Senior Full Stack Engineer to build frontend and backend services and automation workflows in a data-intensive environment.

You will work with Java as the primary backend language, complemented by Python and microservices, and React on the frontend. The role emphasizes scalable data architecture, performance optimization, and practical architectural decisions, with LatAm-based hiring and USD-based compensation.

Qualifications

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

Responsibilities

  • Build and maintain frontend and backend services and automation workflows.
  • Bridge software engineering and data engineering responsibilities.
  • Work within an agile sprint process backed by a JIRA backlog.
  • Deliver with strong execution in data-intensive environments.
  • Collaborate effectively across the engineering team.

Skills

Java (primary language)
Python
React
UI/UX
Microservices
Data architecture
Performance optimization

Tools

Kafka
Airflow
Data lakes/warehouses
AWS
Observability tooling

Job description

AgileEngine, a fast-growing software company serving Fortune 500 brands, seeks a Senior Full Stack Engineer to build frontend and backend services and automation workflows in a data-intensive environment.

You will work with Java as the primary backend language, complemented by Python and microservices, and React on the frontend. The role emphasizes scalable data architecture, performance optimization, and practical architectural decisions, with LatAm-based hiring and USD-based compensation.

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