Backend Engineer (Go/Python) for AI Microservices — Remote

Maisa

Murcia

A distancia

EUR 55.000 - 85.000

Jornada completa

Hace 2 días
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Remote work
Office visits optional
Career growth opportunities

Descripción de la vacante

Maisa is a fully remote early-stage AI startup with hubs in Madrid, Barcelona and Valencia. You will design, build, and maintain backend services in Go and Python across a microservices architecture deployed on Kubernetes.

You will own features end-to-end, work closely with clients, and help raise the technical bar across the team. The role requires 3-7+ years of backend experience, production Go/Python, and strong knowledge of microservices, Kafka, Redis, MongoDB, Kubernetes, and AWS.

Formación

  • 5+ years in software engineering with backend focus.
  • Proficient in Go and Python; strong in distributed systems.
  • Experience with microservices and CI/CD pipelines.

Responsabilidades

  • Design, build, and maintain backend services across microservices on Kubernetes.
  • Own features end-to-end from design to deployment.
  • Collaborate with clients and cross-functional teams to translate requirements into scalable solutions.
  • Write clean, production-ready code and participate in code reviews.
  • Contribute to architectural decisions and raise technical standards.
  • Maintain and evolve client implementations alongside new capabilities.

Conocimientos

Backend development
Microservices design
Communication
Team collaboration

Herramientas

Go
Python
Kafka
Redis
MongoDB
Kubernetes
AWS
GitHub Actions

Descripción del empleo

Maisa is a fully remote early-stage AI startup with hubs in Madrid, Barcelona and Valencia. You will design, build, and maintain backend services in Go and Python across a microservices architecture deployed on Kubernetes.

You will own features end-to-end, work closely with clients, and help raise the technical bar across the team. The role requires 3-7+ years of backend experience, production Go/Python, and strong knowledge of microservices, Kafka, Redis, MongoDB, Kubernetes, and AWS.

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