4 publicaciones de empleo destacadas en python backend platform engineer (ai software) (¡Están contratando!)

Backend Engineer II
Teneo Education —En remoto
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- APIs
Solicitud rápida
12h
Product Engineer
Teneo Education —En remoto
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- JavaScript
Solicitud rápida
12h
Expert Engineer
Jimdo —España
- Jornada completa
- Teletrabajo
- Java
- APIs
- Python
Sr. Product Engineer (front-end) - Lifecycle Team
WeTravel —España
- Jornada completa
- Teletrabajo
- Inglés
- Máster
- Inteligencia artificial
- Vacaciones pagadas
- Días de asuntos propios

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Product Engineer
Teneo Education —En remoto
We are looking for a Product Engineer to join our Technology Team and help build AI-enabled education products that teachers, students and education partners…
Solicitud rápida
12h
AI Engineer (Technical Product Owner)
Foxelli Group —Andorra, Teruel provincia
You will be responsible for the full pipeline: from R&D of the best AI models to deploying scalable web applications. (This doesn’t apply to part-time roles.).
8d

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Backend Engineer II

Teneo Education -
En remoto

Solicitud rápida

Detalles del empleo

Jornada completa
Hace 12 horas

Cualificaciones

CI/CD
Node.js
Informática
Inglés
Docker
PostgreSQL
APIs
Cloud
SaaS
Python
Debugging

Descripción completa del empleo

We are looking for a Backend Engineer II to join our Technology Team and help build the future of education.

You will be joining a global EdTech company, building a suite of AI-enabled products for students, teachers and education partners to support better learning outcomes at scale.

This is a high-ownership role for a strong mid-level backend engineer. You will build the services, integrations, data flows and cloud foundations that make the product secure, reliable and scalable. You will be expected to investigate ambiguous problems, make practical technical decisions and take responsibility for systems in production.

What you will do

Build and maintain backend services, APIs, webhooks and integration services.
Develop secure, scalable foundations for multi-tenant education products.
Build and improve integrations with learning platforms, third-party services, AI providers and internal systems.
Design reliable data flows for assessment, feedback, learner activity, reporting and operational workflows.
Build and maintain authentication, authorisation, permissions and audit capabilities appropriate for education products.
Work with PostgreSQL, BigQuery and modern cloud application infrastructure.
Build and deploy containerised services in cloud environments.
Improve reliability, observability, performance and maintainability across backend systems.
Investigate production issues, identify root causes and implement durable fixes.
Work closely with Product and AI Engineers to turn product needs into scalable technical systems.
Engage with education partners where useful to understand real workflows and improve integrations.
Use AI-assisted development tools appropriately while maintaining strong standards for testing, security and code quality.
Write clean, tested and maintainable code.

What we are looking for

3+ years of professional backend engineering experience in production environments.
Experience owning backend services, APIs, integrations, webhooks or cloud-based systems beyond narrowly scoped feature delivery.
Strong experience with TypeScript/Node.js, Python or similar modern backend technologies.
Experience with frameworks such as NestJS, FastAPI, Express or similar.
Solid understanding of APIs, authentication, validation, permissions, databases and backend architecture.
Experience with PostgreSQL and modern cloud platforms.
Experience integrating third-party APIs, SaaS platforms or AI services.
Experience with Docker or similar containerisation tools.
A self-directed mindset and the ability to investigate unclear technical problems, make sound decisions and move work towards practical solutions.
Strong ownership, debugging and problem-solving skills.
Clear written and spoken English.

Nice to have

Experience with learning-platform integrations, LTI standards or education technology.
Experience with event-driven systems, data pipelines, workflow automation or integration-heavy products.
Experience building multi-tenant SaaS products.
Experience with CI/CD, monitoring, logging, privacy, security or auditability.
Experience with Google Cloud or comparable cloud platforms.
A degree in Computer Science, Software Engineering, Data Engineering or a related technical discipline.

Location

Fully remote, Europe.

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Sr. Product Engineer (front-end) - Lifecycle Team

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