MLOps Engineer (Senior) - Python, FastAPI & Kubernetes

SITA; Barcelona; Presencial; EUR 45.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flex Week

Flex Day

Flex Location

Employee Wellbeing

Professional Development

Competitive Benefits

Descripción de la vacante

SITA is seeking a talented engineer to join our Data Intelligence Team in a role focused on building robust data-driven software. You will work in a small Agile team to deliver business-critical applications, implementing APIs with FastAPI and distributed tasks with Ray, and scaling microservices in Kubernetes.

You will handle data collection and storage with SQLAlchemy and Polars, contribute to CI/CD pipelines, and collaborate across teams to maximise impact.

Formación

• Experience with Python and web frameworks like FastAPI (preferred).
• Experience with SQL and ORMs such as SQLAlchemy (preferred).
• Experience with distributed computing frameworks such as Ray (preferred).
• Experience with Docker and Kubernetes.

Responsabilidades

• Work in a small Agile team of great engineers to deliver business critical software.
• Code with high quality standards and practices to submit robust merge requests.
• Implement APIs with FastAPI and distributed tasks with Ray.
• Perform efficient data collection and storage with SQLAlchemy and Polars dataframes.
• Maintain and improve our CI/CD pipelines and documentation.
• Scale up a microservices based architecture in Kubernetes.
• Participate in technical designs, knowledge sharing sessions, retrospectives and demos.
• Collaborate with other teams to help them use our software.

Conocimientos

Python

FastAPI

SQL/ORMs

Ray

Docker

Kubernetes

Herramientas

Docker

Kubernetes

SQLAlchemy

Ray

Descripción del empleo

SITA is seeking a talented engineer to join our Data Intelligence Team in a role focused on building robust data-driven software. You will work in a small Agile team to deliver business-critical applications, implementing APIs with FastAPI and distributed tasks with Ray, and scaling microservices in Kubernetes.

You will handle data collection and storage with SQLAlchemy and Polars, contribute to CI/CD pipelines, and collaborate across teams to maximise impact.