Senior Python Backend Lead — AWS, GraphQL & Microservices

BairesDev; Rosario; Híbrido; ARS 139.086.000 - 200.903.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Backend Developer to design, build, and maintain scalable systems for a Product-led engineering team. The role focuses on Java and/or Kotlin with Spring Boot, GraphQL, MongoDB, and Aurora MySQL on AWS, handling operational tooling and architecture while embracing compliance, cost-savings, and observability work.

Must have 3+ years backend experience, Java/Kotlin proficiency, MongoDB Atlas, Aurora MySQL on AWS, and cloud-native AWS exposure.

Formación

• 3+ years of backend-focused software development experience.
• Proficiency in Java and/or Kotlin.
• MongoDB Atlas and Aurora MySQL on AWS experience.
• Experience with Spring Boot and GraphQL.
• Experience building cloud-native distributed systems on AWS.

Responsabilidades

• Take on lower-priority engineering work including maintenance, cost-savings, observability, and tooling enhancements.
• Design, build, and maintain scalable, performant software systems.
• Contribute to system architecture and validate solutions with data and experimentation.

Conocimientos

Backend development

Java/Kotlin

GraphQL API design

Cloud architecture

System design & observability

English proficiency

Herramientas

MongoDB Atlas

Aurora MySQL on AWS

Spring Boot

GraphQL (Netflix DGS)

AWS services (EC2/S3/Lambda)

Terraform

Kafka/SQS

REST & gRPC

Descripción del empleo

AgileEngine is seeking a Backend Developer to design, build, and maintain scalable systems for a Product-led engineering team. The role focuses on Java and/or Kotlin with Spring Boot, GraphQL, MongoDB, and Aurora MySQL on AWS, handling operational tooling and architecture while embracing compliance, cost-savings, and observability work.

Must have 3+ years backend experience, Java/Kotlin proficiency, MongoDB Atlas, Aurora MySQL on AWS, and cloud-native AWS exposure.