- Design, develop, and maintain automation scripts and services using Python, Flask, and FastAPI.

- Implement and manage CI/CD pipelines using Jenkins and GitHub Actions.

- Support and optimize data platforms including Teradata and Snowflake.

- Configure and monitor workflow scheduling tools such as Apache Airflow.

- Manage ML experiment tracking and deployment using MLflow and Dataiku.

- Deploy and manage applications on OpenShift environments.

- Collaborate with cross-functional teams to define cloud migration strategies and ensure seamless platform transitions.

- Troubleshoot complex system issues and provide innovative solutions to enhance performance and scalability.

Required Skills & Experience :

- Minimum 5 years of experience in Python-based DevOps or related engineering roles.

- Strong knowledge of Python, including APIs, automation, and microservices.

- Proven experience with CI/CD tools (Jenkins, GitHub Actions).

- Proficiency with data integration and cloud platforms (AWS, Azure, or GCP).

- Hands-on experience with Airflow, MLflow, and Dataiku.

- Familiarity with container orchestration platforms like OpenShift or Kubernetes.

- Excellent communication and stakeholder engagement skills.

- Demonstrated ability to work effectively in global, multicultural environments.

- Strong problem-solving mindset and decision-making ability in dynamic settings.