Real-Time Ingestion Engineer (Python, PostgreSQL)

Jobtailor

France

Sur place

EUR 60 000 - 90 000

Plein temps

14 jours+

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Résumé du poste

Jobtailor is seeking a backend engineer to own and accelerate our real-time ingestion and data infrastructure in a Kubernetes-rich environment. You will optimize PostgreSQL workloads, build production-grade Python services, and collaborate cross-functionally with product squads to translate business needs into scalable technical solutions.

Responsibilities include owning the ingestion pipeline, scaling infrastructure, and driving automation while maintaining strong communication with

Qualifications

  • Proven experience building, deploying and monitoring production-grade applications.
  • Python is our primary backend language, with flexibility to learn other core languages.
  • Experience with PostgreSQL, including index tuning and query optimization.
  • Excellent communication bridging technical and non-technical stakeholders.
  • Strong understanding of cloud computing concepts, with hands-on AWS experience.

Responsabilités

  • Ingestion Pipeline: Own and accelerate migration to a real-time streaming ingestion system.
  • Infrastructure Scaling: Manage provisioning and scaling, expanding Kubernetes adoption.
  • Database Management & Optimization: Maintain PostgreSQL performance under heavy load.
  • Automation: Evolve real-time auto-moderation with Product Engineering collaboration.
  • Cross-Functional Collaboration: Translate business requirements into technical execution with squads.

Connaissances

Python
Go
C++
Java
PostgreSQL
Cloud computing

Outils

Kubernetes
AWS

Description du poste

Jobtailor is seeking a backend engineer to own and accelerate our real-time ingestion and data infrastructure in a Kubernetes-rich environment. You will optimize PostgreSQL workloads, build production-grade Python services, and collaborate cross-functionally with product squads to translate business needs into scalable technical solutions.

Responsibilities include owning the ingestion pipeline, scaling infrastructure, and driving automation while maintaining strong communication with

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