Senior Backend Engineer — AI-Driven, Scalable Systems (Hybrid)

bsport

Paris

Ibrido

EUR 72.000 - 115.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Attractive compensation package
Work-Life harmony
Work from anywhere (up to 15 days rem
Exclusive HelloCSE membership
Diverse, multicultural team

Descrizione del lavoro

bsport is hiring a Senior Backend Software Engineer in Paris. You will lead the design of high-volume data services and an AI-enabled data layer, building core backend capabilities and authentication/permissions systems for a rapidly growing platform serving millions of users.

You will collaborate with Data, Product and DevOps teams, implement robust code, and drive observability and performance improvements across the stack, in a hybrid work setup.

Competenze

  • Proven experience with Python and Django is required or a strong plus.
  • Ability to design scalable backend services and data models.
  • Experience with data-driven, API-first architectures at scale.

Mansioni

  • Lead design of services and event-driven architectures for high-volume data.
  • Write robust, maintainable code with CI/CD practices.
  • Provide technical leadership and mentor junior engineers.
  • Collaborate with Data, Product and DevOps teams to deploy cutting-edge solutions.
  • Monitor and optimize backend performance with observability tools.
  • Contribute to cross-team initiatives across the backend and devops stack.

Conoscenze

Python
Django
Data modeling
Backend architecture
REST APIs

Strumenti

Django Rest Framework
PostgreSQL
AWS
Kafka
RabbitMQ
Grafana

Descrizione del lavoro

bsport is hiring a Senior Backend Software Engineer in Paris. You will lead the design of high-volume data services and an AI-enabled data layer, building core backend capabilities and authentication/permissions systems for a rapidly growing platform serving millions of users.

You will collaborate with Data, Product and DevOps teams, implement robust code, and drive observability and performance improvements across the stack, in a hybrid work setup.

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