Senior Full-Stack Engineer - Java/Python, Data-Driven

AgileEngine, LLC.

Pereira

Presencial

COP 284.765.000 - 411.327.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive USD pay
Exciting projects
Flextime (remote and office options)

Descripción de la vacante

AgileEngine, LLC. in Pereira, Colombia is seeking a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows, using Java as the primary backend language with Python, and React on the frontend.

You will work in a data-intensive environment, bridge software and data engineering, and participate in an agile sprint process with a Jira backlog, delivering with strong execution and collaboration.

Formación

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

Responsabilidades

  • 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.

Conocimientos

Java
Python
React
UI/UX
Microservices
Data architecture
Performance optimization
Architectural sense
LatAm

Herramientas

Kafka
Airflow
Data lakes
Data warehouse ecosystems
AWS
Observability tooling

Descripción del empleo

AgileEngine, LLC. in Pereira, Colombia is seeking a Senior Full Stack Engineer to build and maintain frontend and backend services and automation workflows, using Java as the primary backend language with Python, and React on the frontend.

You will work in a data-intensive environment, bridge software and data engineering, and participate in an agile sprint process with a Jira backlog, delivering with strong execution and collaboration.

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