Description

Responsibilities:

Design, develop, and maintain Python-based backend systems using FastAPI to create RESTful APIs.
Deploy, scale, and manage applications in a cloud-native environment, preferably using Azure.
Work with deployment teams to ensure high availability and scalability of applications using Kubernetes.
Monitor and manage application performance and health with tools like Prometheus, Grafana, or similar platforms.
Maintain deployment configurations and processes using YAML files to support streamlined workflows.

Requirements:

Bachelor’s and/or Master’s degree in Computer Science, Engineering, or a relevant field.
Proven experience deploying Large Language Model (LLM)-based backends in production environments.
Strong background in software engineering with a focus on deploying and managing systems at scale.

We offer:

Challenging international projects,
Long-term cooperation,
Transparently built relations based on trust and fair play,
Co-financed benefits: Medicover card, Multisport card

Education

Bachelor's degree in Computer Science