Responsibilities include:

- Develop and automate complex workflows and systems using Python to streamline IT processes and infrastructure management.

- Design, implement, and manage Ansible playbooks for infrastructure automation, configuration management, and continuous deployment.

- Build and maintain scalable automation solutions within private cloud environments (Openstack) leveraging cloud-native tools and services.

- Collaborate with cross-functional teams to integrate AIOps for proactive system monitoring, anomaly detection, and automated incident response.

- Implement MLOps pipelines to automate machine learning model deployment, monitoring, and lifecycle management in production environments.

- Optimize infrastructure and processes using automation frameworks to reduce operational overhead and improve system performance.

- Automate routine tasks and processes related to system provisioning, configuration, and patch management.

- Design self-healing, auto-scaling systems by incorporating advanced automation techniques in cloud platforms.

- Create automated workflows to manage data pipelines, train models, and monitor ML models' performance in MLOps environments.

- Collaborate with DevOps teams to build and maintain CI/CD pipelines and automated deployment processes for applications and machine learning models.

- Continuously assess and improve automation frameworks and pipelines to align with the latest industry best practices.