Geospatial Data Engineer: AI Pipelines on Kubernetes

Energy Aspects Ltd.

Paris

Sur place

EUR 60 000 - 70 000

Plein temps

14 jours+

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Résumé du poste

Kayrros is recruiting a Software Engineer for its Paris office to join the Geospatial Engineering Team. You will help develop and operate large-scale data pipelines for remote sensing data, focusing on Earth observation data and geolocation data.

The role requires strong software engineering experience, Python 3, Kubernetes, Docker, and cloud services. You will work with researchers, engineers and product stakeholders to deliver robust data pipelines.

Qualifications

  • Master degree in Engineering, Computer Science or equivalent.
  • Experience in Software Engineering.
  • Knowledge of Python 3.
  • Basics of software architecture.
  • Familiar with AI-driven development tools.
  • Knowledge of Kubernetes and Docker and at least one cloud provider (AWS, GCP, Azure) and its services.
  • Knowledge in RDBMS (PostgreSQL, MySQL) and schema design.
  • Knowledge of a workflow scheduler/orchestrator (Argo, Airflow, Keda).
  • Rigor, autonomy and proactivity.
  • Good project management and organizational skills.
  • Speak and write fluent English.

Responsabilités

  • Develop processing pipelines, from design to deployment and maintenance.
  • Apply best practices regarding testing, version control, CI/CD, operations, observability, etc.
  • Collaborate with remote sensing researchers, geospatial and machine learning engineers and product stakeholders.

Connaissances

Python 3
Kubernetes
Docker
Public cloud (AWS / GCP / Azure)
PostgreSQL
MySQL
Argo
Airflow
RBDMS design
Software testing/CI-CD
English fluency

Formation

Master degree in Engineering or Computer Science

Outils

Argo
Airflow
Keda

Description du poste

Kayrros is recruiting a Software Engineer for its Paris office to join the Geospatial Engineering Team. You will help develop and operate large-scale data pipelines for remote sensing data, focusing on Earth observation data and geolocation data.

The role requires strong software engineering experience, Python 3, Kubernetes, Docker, and cloud services. You will work with researchers, engineers and product stakeholders to deliver robust data pipelines.

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