Senior Software Engineer

Energy Aspects; Paris; Sur place; EUR 75 000 - 90 000; Plein temps

Avantages offerts par ce poste

Social clubs

Prestigious offices

Public transport access

Global team

Résumé du poste

Energy Aspects in Paris is seeking a Senior Software Engineer to join the Geospatial Engineering Team. You will develop data processing pipelines, deploy and maintain them on Kubernetes, and collaborate with remote sensing researchers and product stakeholders.

The role emphasizes modern tooling, AI-driven development, and scalable data pipelines across optical, SAR, and other data sources; fluent English required; Master degree and strong software engineering background expected.

Qualifications

• Master degree in Engineering, Computer Science or equivalent.
• Significant experience in Software Engineering.
• Experienced Python engineer.
• Knowledge of software architecture.
• Familiar with AI-driven development tools.
• Knowledge of Kubernetes and Docker and at least one public cloud provider (AWS, GCP, Azure) and its managed services (S3, SQS, Lambdas, etc.)
• Knowledge in RDBMS (PostgreSQL, MySQL, etc.) and schema design.
• Knowledge of one popular workflow scheduler and/or orchestrator (Argo, Airflow, Keda, etc.)

Responsabilités

• Develop data processing pipelines, from design to deployment and maintenance.
• Ensure best practices regarding testing, version control, CI/CD, operations, observability, etc.
• Collaborate with remote sensing researchers, geospatial and machine learning engineers and product stakeholders
• Design, implement, and operate large-scale imagery and data pipelines on Kubernetes
• Develop internal shared libraries to ease the creation and maintenance of data pipelines
• Evaluate architecture trade-offs with respect to maintenance, cost, scalability and robustness
• Fasten development cycles and professionalize development with modern tooling and AI

Connaissances

Software engineering

Python

AI-driven development tools

Kubernetes

Docker

Public cloud (AWS/GCP/Azure)

RDBMS design

Workflow schedulers

English communication

Formation

Master degree in Engineering, Computer Science or equivalent

Outils

Kubernetes

Docker

AWS

GCP

Azure

PostgreSQL

MySQL

Argo

Airflow

Lambdas

Description du poste

Description

Founded in 2012, we are an independent research consultancy that has enjoyed phenomenal growth since our inception, and we have very ambitious plans to continue our upwards growth trajectory. We are passionately committed to providing indispensable and industry–leading short, medium and long‑term analysis, and forecasts of the energy markets, that helps our clients trade, invest, finance and plan.

Details

Department: Kayrros

Location: Paris

Compensation: €75,000 - €90,000 / year

Position

Senior Software Engineer – Paris office

The Team

The Geospatial Engineering Team oversees developing Kayrros’ key software components for remote sensing data processing as well as elaborating and running the pipelines that power Kayrros products. The team has a specific focus on Earth observation data (optical, SAR, LIDAR) and geolocation data.

Key Responsibilities

• Develop data processing pipelines, from design to deployment and maintenance
• Ensure best practices regarding testing, version control, CI/CD, operations, observability, etc.
• Collaborate with remote sensing researchers, geospatial and machine learning engineers and product stakeholders
• Design, implement, and operate large‑scale imagery and data pipelines on Kubernetes
• Develop internal shared libraries to ease the creation and maintenance of data pipelines
• Evaluate architecture trade‑offs with respect to maintenance, cost, scalability and robustness
• Fasten development cycles and professionalize development with modern tooling and AI

You will have a transverse role in the development of EA/Kayrros technologies, from domain‑specific algorithm design to production deployment and operations.

You will work with the full range of data sources used at EA/Kayrros (optical, SAR, hyper‑spectral).

As an example, the Team has already developed pipelines regarding wildfire monitoring, shale gas wells, methane plume detection, and many others!

Skills, Knowledge & Expertise

This is an ideal opportunity if you are looking for a new challenge in a high impact position, ensuring the on‑time, high‑quality delivery of geospatial data to our customers. You will get the opportunity to work with diverse teams, from data scientists and engineers to product owners.

Required qualifications:

• Master degree in Engineering, Computer Science or equivalent
• Significant experience in Software Engineering
• Experienced Python engineer
• Knowledge of software architecture
• Familiar with AI‑driven development tools
• Knowledge of Kubernetes and Docker and at least one public cloud provider (AWS, GCP, Azure) and its managed services (S3, SQS, Lambdas, etc.)
• Knowledge in RDBMS (PostgreSQL, MySQL, etc.) and schema design
• Knowledge of one popular workflow scheduler and/or orchestrator (Argo, Airflow, Keda, etc.)

Leadership, rigor, autonomy and proactivity.

Excellent project management and organizational skills.

Speak and write fluent English to communicate with our international teams.

Appreciated skills:

• Familiar with the geospatial open source ecosystem (GDAL, rasterio, proj, etc.)
• Familiar with new data formats (geoparquet, cloud‑optimized geotiff, etc.)
• Familiar with cloud architecture (resilience, error management, etc.)

Please apply with CV written in English.

Job Benefits

Welcome to our unique workplace where a passion for our industry‑leading product sits at the heart of who we are.

Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse team. We unite as a single, cohesive team through an array of social clubs that cater to a spectrum of interests, from running and yoga to football and culinary adventures. These groups create a collegial and dynamic atmosphere that extends beyond work, promoting a healthy and balanced lifestyle for our team.

Our strategically located offices are all set in prestigious buildings, offering you the convenience of nearby gyms, retail therapy, diverse dining options, and accessible public transport.

If you are passionate about data engineering and energy transition, but don't tick every box in the requirements list, we still encourage you to apply.