Technical Specialist Python

INTELCIA

Missions :

- Back-end and front-end development of applications to manage the data stack

- Develop back-end applications in Python (Django).

- Develop the numerous front-end interfaces (Vue.js).

- Design high-performance and secure REST or GraphQL APIs.

- Develop and maintain scalable, serverless or containerized microservices.

Technologies required:

Expertise Google Cloud Platform :

- Design, develop and deploy services on Cloud Run (optimized Docker images, scaling management, configuration...).

- Develop and maintain Cloud Functions (Python) for event-driven architectures.

- Integrate GCP services: Pub/Sub, Cloud Storage, Secret Manager

- Participate in the implementation of robust, secure and scalable cloud-native architectures.

- Automate deployments in GCP via Terraform or CI/CD.

DevOps & Infrastructure :

- Build and optimize Docker images according to best practices (size, caching, multi-stage...).

- Deploy containerized workloads on Kubernetes.

- Set up monitoring and observability via Prometheus / Grafana / Stackdriver.

- Define and industrialize CI/CD pipelines (GitLab).

- Contribute to an infrastructure code approach (Terraform).

Quality, testing & collaboration:

- Write unit tests, integration tests and end-to-end tests. Tests represent 80% of our code.

- Document APIs, architectures and best practices.

- Participate in code reviews and Agile ceremonies.

Hard Skills :

- Python expert (Django, Flask).

- Solid experience in Full Stack with a modern JS framework.

- Very good experience in containerization: Docker

- Good knowledge of Kubernetes (Helm preferred).

- Knowledge of the Google Cloud Platform:

- Solid experience in CI/CD, GitLab, DevOps practices.

- Knowledge of SQL and NoSQL basics (PostgreSQL, BigQuery...).

- Good security practices (cloud, API, containers).

Nice to Have :

- Terraform (highly appreciated).

- Microservices or event-driven experience.

- Interest in data and AI.

- Orchestrateur Airflow