Cloud Engineer - Python

Job Description:

We are seeking a Cloud Engineer with expertise in Python and experience with Agentic AI technologies. The ideal candidate will be responsible for designing, implementing, and managing cloud-based solutions that leverage Python programming and AI-driven capabilities to enhance system performance and scalability. You will work closely with cross-functional teams to develop cloud infrastructure, automate processes, and ensure optimal deployment of AI models. Your role will involve troubleshooting and resolving any issues related to cloud operations, maintaining security protocols, and optimizing costs associated with cloud services.

Key Responsibilities:

- Design, build, and maintain cloud infrastructure and services using platforms such as AWS, Azure, or Google Cloud.

- Develop and deploy applications and services using Python programming language.

- Implement Agentic AI solutions to automate processes and enhance decision-making capabilities.

- Collaborate with data scientists and AI specialists to integrate machine learning models into cloud services.

- Monitor cloud performance and implement strategies for optimization and scalability.

- Manage and maintain cloud resources, ensuring compliance with security standards and best practices.

- Troubleshoot and resolve issues related to cloud infrastructure and deployment.

- Document processes, configurations, and best practices for cloud operations.

Skills Required:

- Strong proficiency in Python programming.

- Experience with cloud computing platforms (AWS, Azure, Google Cloud).

- Familiarity with Agentic AI tools and frameworks.

- Knowledge of containerization technologies (Docker, Kubernetes).

- Understanding of CI/CD pipelines and DevOps practices.

- Experience with cloud security best practices.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

Tools Required:

- Programming Languages: Python

- Cloud Platforms: AWS, Azure, Google Cloud

- AI Frameworks: TensorFlow, PyTorch, Agentic AI platforms

- Containerization: Docker, Kubernetes

- CI/CD Tools: Jenkins, GitLab CI, or similar tools

- Monitoring Tools: Prometheus, Grafana, or equivalent

- Configuration Management: Terraform, Ansible, or similar tool