Java Backend Engineer: Scalable ETL for AI Manufacturing

Pelico; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Ownership + Equity

AI-native culture

Hybrid work from Paris HQ

Résumé du poste

Pelico, a Paris‑based scale‑up, is hiring a backend engineer focused on building high‑performance ETL systems in Java/Kotlin. You will own scalable backend components, collaborating with cross‑functional teams to deliver features that turn complex manufacturing data into a live operational picture.

You will mentor peers, emphasize clean code, testing, and robust API design, and contribute to CI/CD improvements, while embracing AI tools to accelerate development in a hybrid work setup from our

Qualifications

• Strong expertise in Java or Kotlin and API development.
• Solid understanding of distributed systems and performance optimization.
• Strong grasp of SOLID and design patterns for maintainable code.
• Experience with automated testing and CI/CD pipelines.
• Excellent debugging skills and risk mitigation.
• Interest in AI tools and staying at the frontier of engineering.

Responsabilités

• Design, develop, and optimize Pelico’s ETL backend in Java.
• Architect scalable services ensuring data integrity across environments.
• Integrate third‑party services and optimize deployment strategies.
• Develop data ingestion and processing with efficient DB interactions.
• Mentor junior engineers and lead code reviews.
• Write clean, testable code and drive comprehensive tests.

Connaissances

Java

Kotlin

Relational databases

API development

Distributed systems

Software design (SOLID)

CI/CD

Automated testing

Debugging

AI tools adoption

Description du poste

Pelico, a Paris‑based scale‑up, is hiring a backend engineer focused on building high‑performance ETL systems in Java/Kotlin. You will own scalable backend components, collaborating with cross‑functional teams to deliver features that turn complex manufacturing data into a live operational picture.

You will mentor peers, emphasize clean code, testing, and robust API design, and contribute to CI/CD improvements, while embracing AI tools to accelerate development in a hybrid work setup from our