Senior Full-Stack & DevOps Engineer | AI for Trade

recurv; Brussel Hoofdstad; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

recurv is seeking a Senior Full-Stack Developer & DevOps Engineer to build and maintain Python web services, APIs, and data platforms. You will enhance deployment practices, contribute technical expertise, and help shape scalable architectures for digital trade solutions.

You will collaborate with IT leadership and cross-functional teams, delivering automated solutions for risk and data analytics while promoting best practices, documentation, and independent, high-quality work.

Qualifications

• Must have strong Python development experience in building scalable web services.
• Experience with CI/CD pipelines and container orchestration.
• Proficient in cloud platforms (GCP) and modern data/storage services.
• Proven track record in full-stack development within startup/scale-up environments.
• Excellent written and spoken English; ability to work independently and in teams.

Responsabilités

• Develop and maintain Python web services and modules.
• Design, maintain, and improve CI/CD pipelines.
• Collaborate with IT to enable service communication.
• Build custom automation for risk and data analytics teams.
• Advise teams on technologies, tools, and architectures for projects.
• Establish scalable development practices and clear documentation.
• Contribute to AI-based regression testing and business processes.

Connaissances

Python 3.10+

FastAPI

PostgreSQL

REST APIs

SQLAlchemy

Pydantic

Alembic

Full-stack in startup/scale-up

Professional English

Outils

GitLab CI/CD

ArgoCD

Kubernetes

Helm

Docker

GKE

Compute Engine

IAM

Secret Manager

Cloud SQL

Description du poste

recurv is seeking a Senior Full-Stack Developer & DevOps Engineer to build and maintain Python web services, APIs, and data platforms. You will enhance deployment practices, contribute technical expertise, and help shape scalable architectures for digital trade solutions.

You will collaborate with IT leadership and cross-functional teams, delivering automated solutions for risk and data analytics while promoting best practices, documentation, and independent, high-quality work.