Description

Lead the design and implementation of complex automation frameworks for infrastructure and machine learning operations. You will own the end-to-end lifecycle of self-healing systems, MLOps pipelines, and AIOps integrations within private and public cloud environments.

Responsibilities

• Develop and automate complex IT workflows and infrastructure management systems using Python.
• Design, implement, and manage Ansible playbooks for configuration management and continuous deployment.
• Build scalable automation solutions in private cloud (OpenStack) and public cloud environments (AWS, Azure, GCP).
• Implement MLOps pipelines to automate ML model deployment, monitoring, and lifecycle management in production.
• Integrate AIOps tools for proactive monitoring, anomaly detection, and automated incident response.

Required Skills

• 13+ years of experience in software engineering or DevOps roles.
• Strong proficiency in Python for scripting, automation, and backend logic.
• Expertise in Ansible playbook development for infrastructure automation.
• Hands-on experience with CI/CD pipelines and DevOps best practices.
• Proficiency in Shell Scripting (Bash/PowerShell) for system administration tasks.
• Deep understanding of cloud platforms (AWS, Azure, or GCP) and serverless architectures.
• Practical experience with MLOps tools for ML model lifecycle management.
• Solid grasp of database systems, system architecture, and infrastructure as code.

Key Skills

Education

Any Gradute